Alumni Theses

2026

Journal Articles

Novel sufficient conditions for the local stability of non-isothermal continuous homogeneous reaction systems

N. H. Hoang; D. Bonvin 

Computers and Chemical Engineering. 2026. Vol. 205, p. 109462. DOI : 10.1016/j.compchemeng.2025.109462.

Physically-bounded distributionally robust chance-constrained dispatch approach for power system with renewable power-to-ammonia

T. Wu; Y. Jiang; S. Cui; Z. Li; S. Wang et al. 

Applied Energy. 2026. Vol. 402, p. 126972. DOI : 10.1016/j.apenergy.2025.126972.

2025

Journal Articles

Feedback-Based Optimization of Batch Polymerization─A Comparison of Run-to-Run and Online Implementations

T. de Avila Ferreira; F. Millan; D. Bonvin; G. François 

Industrial & Engineering Chemistry Research. 2025. DOI : 10.1021/acs.iecr.5c02270.

A commissioning-oriented approach to data-driven modeling of buildings with heat pumps for predictive demand response

M. Koch; P. Sawant; R. Eismann; C. N. Jones 

Journal of Building Engineering. 2025. Vol. 111. DOI : 10.1016/j.jobe.2025.113016.

A multi-modal nocturnal radiative cooling and solar-assisted heating system with model predictive control

M. Koch; P. Sawant; R. Eismann; C. N. Jones 

Energy and Buildings. 2025. Vol. 343, p. 115883. DOI : 10.1016/j.enbuild.2025.115883.

Adaptive data-driven prediction in a building control hierarchy: A case study of demand response in Switzerland

J. Shi; Y. Lian; C. Salzmann; C. N. Jones 

Energy and Buildings. 2025. Vol. 333, p. 115498. DOI : 10.1016/j.enbuild.2025.115498.

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems

X. Dai; J. Zhai; Y. Jiang; Y. Guo; C. N. Jones et al. 

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING. 2025. Vol. 12, num. 2, p. 1210 – 1223. DOI : 10.1109/TNSE.2025.3526206.

A shortcut model for batch distillation columns using pertinent effective factors

A. G. Marchetti; M. Amrhein; P. A. Marchetti; D. Bonvin 

Chemical Engineering Science. 2025. Vol. 304, p. 120978. DOI : 10.1016/j.ces.2024.120978.

Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles

X. Long; Y. Jiang; Z. Wang; X. Liu; Y. Shi et al. 

Journal of Communications and Information Networks. 2025. Vol. 10, num. 1, p. 1 – 14. DOI : 10.23919/JCIN.2025.10964099.

Robustly Learning Regions of Attraction From Fixed Data

M. Tacchi; Y. Lian; C. N. Jones 

IEEE Transactions on Automatic Control. 2025. Vol. 70, num. 3, p. 1576 – 1591. DOI : 10.1109/TAC.2024.3462528.

Model predictive building climate control for mitigating heat pump noise pollution

Y. Li; J. Shi; C. N. Jones; N. Yorke-Smith; T. Keviczky 

European Journal of Control. 2025.  p. 101323. DOI : 10.1016/j.ejcon.2025.101323.

Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning

Z. Yu; Y. Jiang; X. Liu; Y. Shi; C. Jiang et al. 

IEEE Transactions on Mobile Computing. 2025.  p. 1 – 17. DOI : 10.1109/tmc.2025.3607488.

Conference Papers

Brunovsky Riccati Recursion for Linear Model Predictive Control

S. Yang; T. Ohtsuka; C. N. Jones 

2025. 2025 American Control Conference, Denver, CO, USA, 2025-07-08 – 2025-07-10. p. 3367 – 3372. DOI : 10.23919/acc63710.2025.11107756.

SAI: Latency-Aware Satellite Edge LAM Inference with Looped Transformer

H. Yuan; Z. Wang; Y. Jiang; X. Liu; Y. Shi et al. 

2025. IEEE International Conference on Communications, Montreal, QC, Canada, 2025-06-08 – 2025-06-12. p. 2472 – 2477. DOI : 10.1109/icc52391.2025.11161072.

Cooperative Distributed Model Predictive Control for Embedded Systems: Experiments with Hovercraft Formations

G. Stomberg; R. Schwan; A. Grillo; C. N. Jones; T. Faulwasser 

2025. 2025 IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, 2025-05-19 – 2025-05-23. p. 11377 – 11383. DOI : 10.1109/icra55743.2025.11128032.

Optical Arbitrary Waveform Generation (OAWG) Using Self-Injection-Locked RF-Synchronized Kerr Soliton Microcombs

H. Peng; Y. Chen; D. Fang; C. Bremauer; G. Lihachev et al. 

2025. Conference on Lasers and Electro-Optics 2025, Long Beach, CA, US, 2025-05-04 – 2025-05-09. DOI : 10.1364/cleo_si.2025.ss164_1.

Chip-Scale Optical Frequency Combs for Ultra-Broadband Signal Processing and High-Speed Optical Communications

H. Peng; D. Drayss; D. Fang; Y. Chen; C. Fullner et al. 

2025. 25th Anniversary International Conference on Transparent Optical Networks (ICTON 2025), Barcelona, Spain, 2025-07-06 – 2025-07-10. DOI : 10.1109/ICTON67126.2025.11125348.

Safe Physics-informed Machine Learning for Dynamics and Control

J. Drgona; T. X. Nghiem; T. Beckers; M. Fazlyab; E. Mallada et al. 

2025. 2025 American Control Conference, Denver, CO, USA, 2025-07-08 – 2025-07-10. p. 591 – 606. DOI : 10.23919/ACC63710.2025.11107836.

Theses

Bayesian Optimization with Constraints, Structure and Human Feedback

W. Xu / C. N. Jones; B. Svetozarevic (Dir.)  

Lausanne, EPFL, 2025. 

Applications of Data-driven Predictive Control to Building Energy Systems

M. P. Koch / C. N. Jones; P. Sawant (Dir.)  

Lausanne, EPFL, 2025. 

2024

Journal Articles

On speeding-up modifier-adaptation schemes for real-time optimization

D. Bonvin; G. Pannocchia 

Computers and Chemical Engineering. 2024. Vol. 191, p. 108839. DOI : 10.1016/j.compchemeng.2024.108839.

Ensuring data privacy in AC Optimal Power Flow with a distributed co-simulation framework

X. Dai; A. Kocher; J. Kovačević; B. Dindar; Y. Jiang et al. 

Electric Power Systems Research. 2024. Vol. 235, p. 110710. DOI : 10.1016/j.epsr.2024.110710.

SOStab: A Matlab toolbox for transient stability analysis

S. Drobot; M. Tacchi; C. Cardozo; C. Jones 

Electric Power Systems Research. 2024. Vol. 235, p. 110812. DOI : 10.1016/j.epsr.2024.110812.

Risk-aware scheduling and dispatch of flexibility events in buildings

P. Scharnhorst; B. Schubnel; R. E. Carrillo; P. J. Alet; C. N. Jones 

Sustainable Energy, Grids and Networks. 2024. Vol. 39, p. 101512. DOI : 10.1016/j.segan.2024.101512.

Real-time coordination of integrated transmission and distribution systems: Flexibility modeling and distributed NMPC scheduling

X. Dai; Y. Guo; Y. Jiang; C. N. Jones; G. Hug et al. 

Electric Power Systems Research. 2024. Vol. 234, p. 110627. DOI : 10.1016/j.epsr.2024.110627.

Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems

J. Zhai; Y. Jiang; M. Zhou; Y. Shi; W. Chen et al. 

IEEE Transactions on Sustainable Energy. 2024. Vol. 15, num. 3, p. 1782 – 1798. DOI : 10.1109/TSTE.2024.3379162.

A Peer-to-peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty: a Generalized Nash Equilibrium Approach

X. Chen; L. Wang; Y. Jiang; J. Wang 

ENERGY CONVERSION AND ECONOMICS. 2024. Vol. 5, num. 3, p. 179 – 192. DOI : 10.1049/enc2.12121.

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

W. Xu; C. N. Jones; B. Svetozarevic; C. R. Laughman; A. Chakrabarty 

Journal Of Process Control. 2024. Vol. 138, p. 103212. DOI : 10.1016/j.jprocont.2024.103212.

One-Bit Byzantine-Tolerant Distributed Learning via Over-The-Air Computation

Y. Yang; Y. Wu; Y. Jiang; Y. Shi 

IEEE Transactions on Wireless Communications. 2024. Vol. 23, num. 6, p. 5441 – 5455. DOI : 10.1109/TWC.2023.3326438.

Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method

P. Yang; Y. Jiang; D. Wen; T. Wang; C. N. Jones et al. 

IEEE Transactions on Wireless Communications. 2024. Vol. 23, num. 6, p. 5632 – 5647. DOI : 10.1109/TWC.2023.3327610.

Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization

W. Xu; Y. Jiang; E. T. Maddalena; C. N. Jones 

Journal of Optimization Theory and Applications. 2024. Vol. 201, num. 2, p. 583 – 608. DOI : 10.1007/s10957-024-02399-1.

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

J. Qian; Y. Jiang; X. Liu; Q. Wang; T. Wang et al. 

Ieee Internet Of Things Journal. 2024. Vol. 11, num. 3, p. 5511 – 5525. DOI : 10.1109/JIOT.2023.3306826.

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach

W. Xu; B. Svetozarevic; L. Di Natale; P. Heer; C. N. Jones 

Applied Energy. 2024. Vol. 358, p. 122493. DOI : 10.1016/j.apenergy.2023.122493.

SIMBa: System Identification Methods Leveraging Backpropagation

L. Di Natale; M. Zakwan; P. Heer; G. Ferrari-Trecate; C. N. Jones 

IEEE Transactions on Control Systems Technology. 2024. DOI : 10.1109/TCST.2024.3477301.

Minimizing Emission for Timely Heavy-Duty Truck Transportation

J. Su; R. Zhou; Q. Liu; W. Xu; M. Chen et al. 

IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2024. DOI : 10.1109/TITS.2024.3509899.

On Continuation and Convex Lyapunov Functions

W. Jongeneel; R. Schwan 

IEEE Transactions on Automatic Control. 2024. Vol. 69, num. 10, p. 6895 – 6906. DOI : 10.1109/TAC.2024.3381913.

A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids

Q. Li; Y. Shi; Y. Jiang; Y. Shi; H. Wang et al. 

IEEE Transactions on Smart Grid. 2024. Vol. 15, num. 5, p. 4890 – 4902. DOI : 10.1109/TSG.2024.3383396.

Conference Papers

Online Feedback Optimization over Networks: A Distributed Model-free Approach

W. Wang; Z. He; G. Belgioioso; S. Bolognani; F. Dörfler 

2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 2403 – 2408. DOI : 10.1109/cdc56724.2024.10886448.

Dynamic Communication in Multi-Agent Reinforcement Learning via Information Bottleneck

J. You; Y. Wu; D. Wen; Y. Zhou; Y. Jiang et al. 

2024. GLOBECOM 2024 – 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024-12-08 – 2024-12-12. p. 4884 – 4889. DOI : 10.1109/globecom52923.2024.10901017.

On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach

R. Schwan; N. Schmid; E. Chassaing; K. Samaha; C. N. Jones 

2024. 20 IFAC Symposium on System Identification, Boston, United States, 2024-07-17 – 2024-07-19. DOI : 10.1016/j.ifacol.2024.08.543.

Efficient Recursive Data-enabled Predictive Control

J. Shi; Y. Lian; C. N. Jones 

2024. 2024 European Control Conference (ECC), Stockholm, 2024-06-25 – 2024-06-28. p. 880 – 887. DOI : 10.23919/ECC64448.2024.10590886.

Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning

Z. Yu; H. V. Cheng; Z. Yang; X. Liu; Y. Jiang et al. 

2024. 35 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Valencia, Spain, 2024-09-02 – 2024-09-05. DOI : 10.1109/PIMRC59610.2024.10817161.

Stable Linear Subspace Identification: A Machine Learning Approach

L. Di Natale; M. Zakwan; B. Svetozarevic; P. Heer; G. Ferrari-Trecate et al. 

2024. European Control Conference, Stockholm, Sweden, 2024-06-25 – 2024-06-28. p. 3539 – 3544. DOI : 10.23919/ECC64448.2024.10590843.

Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks

A. Blizard; C. N. Jones; S. Stockar 

2024. European Control Conference, Stockholm, Sweden, 2024-06-25 – 2024-06-28. p. 273 – 278. DOI : 10.23919/ECC64448.2024.10590851.

Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization

J. You; X. Dai; Y. Jiang; H. Yin; Y. Shi et al. 

2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 4629 – 4634. DOI : 10.1109/cdc56724.2024.10886533.

Theses

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

P. Scharnhorst / C. N. Jones; B. Schubnel (Dir.)  

Lausanne, EPFL, 2024. 

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

L. Di Natale / C. N. Jones; B. Svetozarevic (Dir.)  

Lausanne, EPFL, 2024. 

2023

Journal Articles

Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

J. Wang; Y. Lian; Y. Jiang; Q. Xu; K. Li et al. 

Transportation Research Part C-Emerging Technologies. 2023. Vol. 155, p. 104274. DOI : 10.1016/j.trc.2023.104274.

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Y. Lian; Y. Jiang; D. F. Opila; C. N. Jones 

Ieee Transactions On Control Systems Technology. 2023. DOI : 10.1109/TCST.2023.3291537.

Self-triggered Control with Energy Harvesting Sensor Nodes

N. Stricker; Y. Lian; Y. Jiang; C. N. Jones; L. Thiele 

Acm Transactions On Cyber-Physical Systems. 2023. Vol. 7, num. 3, p. 20. DOI : 10.1145/3597311.

Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework

X. Chen; J. Zhai; Y. Jiang; C. Ni; S. Wang et al. 

Sustainable Energy Grids & Networks. 2023. Vol. 34, p. 101068. DOI : 10.1016/j.segan.2023.101068.

Perceptive Locomotion Through Nonlinear Model-Predictive Control

R. Grandia; F. Jenelten; S. Yang; F. Farshidian; M. Hutter 

Ieee Transactions On Robotics. 2023. DOI : 10.1109/TRO.2023.3275384.

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

L. G. da Silva; N. D. de Andrade; R. B. Godoy; M. A. G. de Brito; E. T. Maddalena 

Applied Sciences-Basel. 2023. Vol. 13, num. 10, p. 5921. DOI : 10.3390/app13105921.

Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models

L. Di Natale; B. Svetozarevic; P. Heer; C. Jones 

Applied Energy. 2023. Vol. 340, p. 121071. DOI : 10.1016/j.apenergy.2023.121071.

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result

Y. Lian; J. Shi; M. Koch; C. N. Jones 

Ieee Transactions On Control Systems Technology. 2023. DOI : 10.1109/TCST.2023.3259641.

Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation

W. Xu; Q. Liu; M. Chen; H. Zeng 

IEEE Transactions on Intelligent Transportation Systems. 2023. DOI : 10.1109/TITS.2023.3244757.

Fault Detection via Occupation Kernel Principal Component Analysis

Z. Morrison; B. P. Russo; Y. Lian; R. Kamalapurkar 

Ieee Control Systems Letters. 2023. Vol. 7, p. 2695 – 2700. DOI : 10.1109/LCSYS.2023.3287568.

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

U. Rosolia; Y. Lian; E. Maddalena; G. Ferrari-Trecate; C. Jones 

IEEE Transactions on Automatic Control. 2023. Vol. 68, num. 1, p. 556 – 563. DOI : 10.1109/TAC.2022.3148227.

Optimizing Two-Truck Platooning With Deadlines

W. Xu; T. Cui; M. Chen 

IEEE Transactions on Intelligent Transportation Systems. 2023. Vol. 24, num. 1, p. 694 – 705. DOI : 10.1109/TITS.2022.3213549.

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

R. Schwan; C. N. Jones; D. Kuhn 

IEEE Transactions on Automatic Control. 2023. Vol. 68, num. 12, p. 7514 – 7529. DOI : 10.1109/TAC.2023.3283213.

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters

Y. Lian; J. Shi; C. N. Jones 

Ieee Control Systems Letters. 2023. Vol. 7, p. 1885 – 1890. DOI : 10.1109/LCSYS.2023.3282987.

Conference Papers

Frequency domain LPV controller synthesis for a positioning system with uncertain scheduling parameters

P. L. Schuchert; A. Karimi 

2023. 22nd World Congress of the International Federation of Automatic Control (IFAC World Congress 2023), Yokohama, Japan, July 09-14, 2023. p. 1363 – 1369. DOI : 10.1016/j.ifacol.2023.10.1788.

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

L. D. Natale; Y. Lian; E. Maddalena; J. Shi; C. N. Jones 

2023. 2022 IEEE 61st Conference on Decision and Control (CDC). DOI : 10.1109/CDC51059.2022.9992445.

Physically Consistent Neural ODEs for Learning Multi-Physics Systems

M. Zakwan; L. Di Natale; B. Svetozarevic; P. Heer; C. Jones et al. 

2023. 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023. p. 5855 – 5860. DOI : 10.1016/j.ifacol.2023.10.079.

PIQP: A Proximal Interior-Point Quadratic Programming Solver

R. Schwan; Y. Jiang; D. Kuhn; C. N. Jones 

2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 1088 – 1093. DOI : 10.1109/CDC49753.2023.10383915.

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

T. X. Nghiem; J. Drgona; C. Jones; Z. Nagy; R. Schwan et al. 

2023. American Control Conference (ACC), San Diego, CA, May 31-Jun 02, 2023. p. 3735 – 3750. DOI : 10.23919/ACC55779.2023.10155901.

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models

P. Scharnhorst; B. Schubnel; R. E. Carrillo; P-J. Alet; C. N. Jones 

2023. American Control Conference (ACC), San Diego, CA, May 31-Jun 02, 2023. p. 583 – 590. DOI : 10.23919/ACC55779.2023.10156041.

Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control

T. A. Oancea; Y. Jiang; C. N. Jones 

2023. European Control Conference, Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178416.

Hypergraph-Based Fast Distributed AC Power Flow Optimization

X. Dai; Y. Lian; Y. Jiang; C. N. Jones; V. Hagenmeyer 

2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 4572 – 4579. DOI : 10.1109/CDC49753.2023.10383354.

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

L. Di Natale; B. Svetozarevic; P. Heer; C. Jones 

2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, December 13-15, 2023. DOI : 10.1109/CDC49753.2023.10383956.

Federated Linear Bandit Learning via Over-the-air Computation

J. Wang; Y. Jiang; X. Liu; T. Wang; Y. Shi 

2023. IEEE Conference on Global Communications (IEEE GLOBECOM) – Intelligent Communications for Shared Prosperity, Kuala Lumpur, MALAYSIA, DEC 04-08, 2023. p. 1363 – 1368. DOI : 10.1109/GLOBECOM54140.2023.10437441.

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

W. Xu; Y. Jiang; B. Svetozarevic; C. N. Jones 

2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 4112 – 4117. DOI : 10.1109/CDC49753.2023.10383653.

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints

W. Xu; Y. Jiang; B. Svetozarevic; C. N. Jones 

2023. 22nd World Congress of the International Federation of Automatic Control (IFAC World Congress 2023), Yokohama, Japan, July 09-14, 2023. p. 513 – 518. DOI : 10.1016/j.ifacol.2023.10.1619.

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

J. Miller; M. R. Tacchi; M. Sznaier; A. Jasour 

2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 4836 – 4842. DOI : 10.1109/CDC49753.2023.10383958.

Theses

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

E. Maddalena / C. N. Jones (Dir.)  

Lausanne, EPFL, 2023. 

Data-driven Methods for Control: from Linear to Lifting

Y. Lian / C. N. Jones (Dir.)  

Lausanne, EPFL, 2023. 

2022

Journal Articles

Stokes, Gibbs, and Volume Computation of Semi-Algebraic Sets

M. Tacchi; J. B. Lasserre; D. Henrion 

Discrete & Computational Geometry. 2022. DOI : 10.1007/s00454-022-00462-0.

Asynchronous decentralized adjustable robust operation for multi-area integrated electricity-gas systems considering wind power uncertainty

J. Zhai; Y. Jiang; X. Chen; J. Li; C. N. Jones et al. 

International Journal Of Electrical Power & Energy Systems. 2022. Vol. 147, p. 108882. DOI : 10.1016/j.ijepes.2022.108882.

Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach

P. Scharnhorst; E. Maddalena; Y. Jiang; C. Jones 

2022. DOI : 10.1109/TAC.2022.3227907.

Over-the-Air Federated Learning via Second-Order Optimization

P. Yang; Y. Jiang; T. Wang; Y. Zhou; Y. Shi et al. 

Ieee Transactions On Wireless Communications. 2022. Vol. 21, num. 12, p. 10560 – 10575. DOI : 10.1109/TWC.2022.3185156.

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

J. Zhai; S. Wang; L. Guo; Y. Jiang; Z. Kang et al. 

Applied Energy. 2022. Vol. 326, p. 119939. DOI : 10.1016/j.apenergy.2022.119939.

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

J. Zhai; X. Dai; Y. Jiang; Y. Xue; V. Hagenmeyer et al. 

IEEE Transactions on Power Systems. 2022. Vol. 37, num. 6, p. 4861 – 4873. DOI : 10.1109/TPWRS.2022.3155866.

Experimental data-driven model predictive control of a hospital HVAC system during regular use

E. T. Maddalena; S. A. Mueller; R. M. dos Santos; C. Salzmann; C. N. Jones 

Energy And Buildings. 2022. Vol. 271, p. 112316. DOI : 10.1016/j.enbuild.2022.112316.

Physically Consistent Neural Networks for building thermal modeling: Theory and analysis

L. Di Natale; B. Svetozarevic; P. Heer; C. Jones 

Applied Energy. 2022. Vol. 325, p. 119806. DOI : 10.1016/j.apenergy.2022.119806.

Parallel MPC for Linear Systems With State and Input Constraints

J. Shi; Y. Jiang; J. Oravec; B. Houska 

Ieee Control Systems Letters. 2022. Vol. 7, p. 229 – 234. DOI : 10.1109/LCSYS.2022.3188357.

Distributed adjustable robust optimal power-gas flow considering wind power uncertainty

J. Zhai; Y. Jiang; J. Li; C. N. Jones; X-P. Zhang 

International Journal Of Electrical Power & Energy Systems. 2022. Vol. 139, p. 107963. DOI : 10.1016/j.ijepes.2022.107963.

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization

J. Zhai; Y. Jiang; Y. Shi; C. N. Jones; X-P. Zhang 

Ieee Transactions On Smart Grid. 2022. Vol. 13, num. 3, p. 2132 – 2147. DOI : 10.1109/TSG.2022.3150412.

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC

Y. Lian; Y. Jiang; C. N. Jones; D. F. Opila 

Ieee Control Systems Letters. 2022. Vol. 6, p. 3301 – 3306. DOI : 10.1109/LCSYS.2022.3183826.

Data-Driven Input Reconstruction and Experimental Validation

J. Shi; Y. Lian; C. N. Jones 

Ieee Control Systems Letters. 2022. Vol. 6, p. 3259 – 3264. DOI : 10.1109/LCSYS.2022.3184904.

Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments

B. Svetozarevic; C. Baumann; S. Muntwiler; L. Di Natale; M. Zeilinger et al. 

Applied Energy. 2022. Vol. 307, p. 118127. DOI : 10.1016/j.apenergy.2021.118127.

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

W. Fang; Z. Yu; Y. Jiang; Y. Shi; C. N. Jones et al. 

Ieee Transactions On Signal Processing. 2022. Vol. 70, p. 5058 – 5073. DOI : 10.1109/TSP.2022.3214122.

Conference Papers

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control

L. D. Natale; B. Svetozarevic; P. Heer; C. Jones 

2022. 17th International Conference on Control & Automation (ICCA), Naples, Italy, June 27-30, 2022. p. 698 – 703. DOI : 10.1109/ICCA54724.2022.9831914.

Coordinating Active Distribution Networks with Multi-Microgrids: An ADMM-based Decentralized Adjustable Robust Operation Model

J. Zhai; C. Ni; P. Nimmegeers; Y. Jiang 

2022. 2022 International Conference on Power Energy Systems and Applications (ICoPESA), [Virtual], 25-27 February 2022. DOI : 10.1109/ICoPESA54515.2022.9754429.

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving

J. P. Allamaa; P. Listov; H. Van der Auweraer; C. Jones; T. D. Son 

2022. American Control Conference (ACC), Atlanta, GA, Jun 08-10, 2022. p. 1982 – 1987. DOI : 10.23919/ACC53348.2022.9867514.

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

R. Linsen; P. Listov; A. de Lajarte; R. Schwan; C. N. Jones 

2022. IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, May 23-27, 2022. p. 1996 – 2002. DOI : 10.1109/ICRA46639.2022.9811938.

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints

W. Xu; C. N. Jones; B. Svetozarevic; C. R. Laughman; A. Chakrabarty 

2022. American Control Conference (ACC), Atlanta, GA, Jun 08-10, 2022. p. 5288 – 5293. DOI : 10.23919/ACC53348.2022.9867298.

Rapid Scalable Distributed Power Flow with Open-Source Implementation

X. Dai; Y. Cai; Y. Jiang; V. Hagenmeyer 

2022. 9th IFAC Conference on Networked Systems (NECSYS), Zurich, SWITZERLAND, Jul 05-07, 2022. p. 145 – 150. DOI : 10.1016/j.ifacol.2022.07.250.

Theses

Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems

P. Listov / C. N. Jones (Dir.)  

Lausanne, EPFL, 2022. 

Working Papers

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models

P. Scharnhorst; B. Schubnel; R. E. Carrillo; P-J. Alet; C. Jones 

2022

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

R. Linsen; P. Listov; A. Lajarte; R. Schwan; C. Jones 

2022

2021

Journal Articles

Scalable Bayesian optimization for model calibration: Case study on coupled building and HVAC dynamics

A. Chakrabarty; E. Maddalena; H. Qiao; C. Laughman 

Energy And Buildings. 2021. Vol. 253, p. 111460. DOI : 10.1016/j.enbuild.2021.111460.

Deterministic error bounds for kernel-based learning techniques under bounded noise

E. T. Maddalena; P. Scharnhorst; C. N. Jones 

Automatica. 2021. Vol. 134, p. 109896. DOI : 10.1016/j.automatica.2021.109896.

A Matlab toolbox for scaled-generic modeling of shoulder and elbow

E. Sarshari; Y. Boulanaache; A. Terrier; A. Farron; P. Mullhaupt et al. 

Scientific Reports. 2021. Vol. 11, num. 1, p. 20806. DOI : 10.1038/s41598-021-99856-y.

Towards global optimal control via Koopman lifts

M. E. Villanueva; C. N. Jones; B. Houska 

Automatica. 2021. Vol. 132, p. 109610. DOI : 10.1016/j.automatica.2021.109610.

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

F. C. Rego; Y. Pu; A. Alessandretti; A. P. Aguiar; A. M. Pascoal et al. 

Ieee Transactions On Automatic Control. 2021. Vol. 66, num. 9, p. 3922 – 3937. DOI : 10.1109/TAC.2020.3027658.

A Demand Response-Based Solution to Overloading in Underdeveloped Distribution Networks

M. Jibran; H. A. Nasir; F. A. Qureshi; U. Ali; C. Jones et al. 

Ieee Transactions On Smart Grid. 2021. Vol. 12, num. 5, p. 4059 – 4067. DOI : 10.1109/TSG.2021.3079959.

The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland

L. Di Natale; L. Funk; M. RĂŒdisĂŒli; B. Svetozarevic; G. Pareschi et al. 

MDPI Energies. 2021. Vol. 14, num. 4812, p. 1 – 24. DOI : 10.3390/en14164812.

Resource-Aware Stochastic Self-Triggered Model Predictive Control

Y. Lian; Y. Jiang; N. Stricker; L. Thiele; C. Jones 

IEEE Control Systems Letters. 2021. Vol. 6, p. 1262 – 1267. DOI : 10.1109/LCSYS.2021.3091967.

Reference tracking stochastic model predictive control over unreliable channels and bounded control actions

P. K. Mishra; S. S. Diwale; C. N. Jones; D. Chatterjee 

Automatica. 2021. Vol. 127, p. 109512. DOI : 10.1016/j.automatica.2021.109512.

Evaluation of advanced control strategies of electric thermal storage systems in residential building stock

G. Buttitta; C. N. Jones; D. P. Finn 

Utilities Policy. 2021. Vol. 69, p. 101178. DOI : 10.1016/j.jup.2021.101178.

Energym: A Building Model Library for Controller Benchmarking

P. Scharnhorst; B. Schubnel; C. Fernandez Bandera; J. Salom; P. Taddeo et al. 

Applied Sciences-Basel. 2021. Vol. 11, num. 8, p. 3518. DOI : 10.3390/app11083518.

Embedded PWM Predictive Control of DC-DC Power Converters Via Piecewise-Affine Neural Networks

E. Maddalena; M. W. F. Specq; V. L. Wisniewski; C. Jones 

IEEE Open Journal of the Industrial Electronics Society. 2021. Vol. 2, p. 199 – 206. DOI : 10.1109/OJIES.2021.3058411.

Conference Papers

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

L. Di Natale; B. Svetozarevic; P. Heer; C. Jones 

2021. CISBAT 2021 – Carbon Neutral Cities: Energy Efficiency & Renewables in the Digital Era, Lausanne, Switzerland, September 8-10, 2021. DOI : 10.1088/1742-6596/2042/1/012004.

Block BFGS Based Distributed Optimization for NMPC Using PolyMPC

Y. Jiang; P. Listov; C. N. Jones 

2021. European Control Conference (ECC21), Rotterdam, Netherlands, 29 June – 2 July, 2021. p. 2231 – 2237. DOI : 10.23919/ECC54610.2021.9655227.

Nonlinear Data-Enabled Prediction and Control

Y. Lian; C. Jones 

2021. 3rd Conference on Learning for Dynamics and Control, Online, June 7-8, 2021. p. 523 – 534.

Robust Learning Model Predictive Control for Periodically Correlated Building Control

J. Shi; Y. Lian; C. N. Jones 

2021. European Control Conference (ECC21), Rotterdam, Netherlands, 29 June – 2 July, 2021. p. 192 – 197. DOI : 10.23919/ECC54610.2021.9655055.

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

E. Maddalena; P. Scharnhorst; Y. Jiang; C. N. Jones 

2021. 3rd Annual Learning for Dynamics & Control Conference, [Virtual], June 7-8, 2021. p. 1015 – 1026.

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control

Y. Lian; C. N. Jones 

2021. 60th IEEE Conference on Decision and Control (CDC), ELECTR NETWORK, Dec 13-17, 2021. p. 1478 – 1483. DOI : 10.1109/CDC45484.2021.9683429.

Joint Energy Management for Distributed Energy Harvesting Systems

N. Stricker; Y. Lian; Y. Jiang; C. N. Jones; L. Thiele 

2021. 19th Conference on Embedded Networked Sensor Systems, PORTUGAL, 2021-11-15 – 2021-11-17. p. 575 – 577. DOI : 10.1145/3485730.3493362.

Theses

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

H. A. Shukla / C. N. Jones (Dir.)  

Lausanne, EPFL, 2021. 

Working Papers

Stochastic Optimal Control for Autonomous Driving Applications via Polynomial Chaos Expansions

P. Listov; J. Schwarz; C. Jones 

2021

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving

J. P. Allamaa; P. Listov; H. Van der Auweraer; C. Jones; Tong Duy Son 

2021

Patents

Gradient flow emulation using drift diffusion processes

S. Diwale 

WO2021116743.

2021.

2020

Journal Articles

Increasing heart vascularisation after myocardial infarction using brain natriuretic peptide stimulation of endothelial and WT1(+) epicardial cells

N. Li; S. Rignault-Clerc; C. Bielmann; A-C. Bon-Mathier; T. Deglise et al. 

Elife. 2020. Vol. 9, p. e61050. DOI : 10.7554/eLife.61050.

NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates

E. T. Maddalena; C. N. Jones 

Ieee Control Systems Letters. 2020. Vol. 4, num. 4, p. 880 – 885. DOI : 10.1109/LCSYS.2020.2996263.

Real-time optimization of load sharing for gas compressors in the presence of uncertainty

P. Milosavljevic; A. G. Marchetti; A. Cortinovis; T. Faulwasser; M. Mercangoez et al. 

Applied Energy. 2020. Vol. 272, p. 114883. DOI : 10.1016/j.apenergy.2020.114883.

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

B. R. Knudsen; A. Alessandretti; C. N. Jones; B. Foss 

International Journal Of Robust And Nonlinear Control. 2020. Vol. 30, num. 14, p. 5657 – 5677. DOI : 10.1002/rnc.5104.

PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems

P. Listov; C. Jones 

Optimal Control Applications and Methods. 2020. Vol. 41, num. 2, p. 709 – 727. DOI : 10.1002/oca.2566.

Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses

I. Lymperopoulos; F. A. Qureshi; A. Bitlislioglu; J. Poland; A. Zanarini et al. 

Ieee Transactions On Smart Grid. 2020. Vol. 11, num. 1, p. 665 – 672. DOI : 10.1109/TSG.2019.2927701.

Regularized economic model predictive control with barrier functions

A. Bitlislioglu; C. Jones 

Optimal Control Applications & Methods. 2020. Vol. 41, num. 1, p. 3 – 24. DOI : 10.1002/oca.2569.

On reducing the number of decision variables for dynamic optimization

D. Rodrigues; D. Bonvin 

Optimal Control Applications & Methods. 2020. Vol. 41, num. 1, p. 292 – 311. DOI : 10.1002/oca.2543.

Conference Papers

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC

Y. Lian; S. Wildhagen; Y. Jiang; B. Houska; F. Allgower et al. 

2020. 2020 CDC 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, December 14-18, 2020. p. 685 – 690. DOI : 10.1109/CDC42340.2020.9304137.

Feedback Control Design Maximizing the Region of Attraction of Stochastic Systems Using Polynomial Chaos Expansion

E. Ahbe; P. Listov; A. Iannneli; R. Smith 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, Berlin, Germany, July 11-17, 2020. p. 7197 – 7203. DOI : 10.1016/j.ifacol.2020.12.550.

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Regression Approach

E. T. Maddalena; C. N. Jones 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 965 – 970. DOI : 10.1016/j.ifacol.2020.12.1265.

A Neural Network Architecture to Learn Explicit MPC Controllers from Data

C. G. d. S. Moraes; G. Waltrich; C. Jones; E. Maddalena 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 11362 – 11367. DOI : 10.1016/j.ifacol.2020.12.546.

Distributed Multi-Building Coordination for Demand Response

J. Su; Y. Jiang; A. Bitlislioglu; C. N. Jones; B. Houska 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 17113 – 17118. DOI : 10.1016/j.ifacol.2020.12.1655.

A Resource-Aware Approach to Self-Triggered Model Predictive Control

S. Wildhagen; C. N. Jones; F. Allgoewer 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 2733 – 2738. DOI : 10.1016/j.ifacol.2020.12.926.

A Demand Response Framework to Overcome Network Overloading in Power Distribution Networks

M. Jibran; H. A. Nasir; F. Qureshi; U. Ali; C. Jones 

2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 13339 – 13344. DOI : 10.1016/j.ifacol.2020.12.168.

Reviews

Data-driven methods for building control – A review and promising future directions

E. T. Maddalena; Y. Lian; C. N. Jones 

Control Engineering Practice. 2020. Vol. 95, p. 104211. DOI : 10.1016/j.conengprac.2019.104211.

2019

Journal Articles

Accelerated and adaptive modifier-adaptation schemes for the real-time optimization of uncertain systems

R. Schneider; P. Milosavljevic; D. Bonvin 

Journal Of Process Control. 2019. Vol. 83, p. 129 – 135. DOI : 10.1016/j.jprocont.2018.07.001.

Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter

V. L. Wisniewski; E. T. Maddalena; R. B. Godoy 

Control Engineering Practice. 2019. Vol. 91, p. 104102. DOI : 10.1016/j.conengprac.2019.07.020.

A stick-slip/inchworm hybrid rotary piezo motor based on a symmetric triangular driving mechanism

Y. Zhang; M. Wang; Y. Cheng; D. Zheng; Y. Peng 

Applied Physics Letters. 2019. Vol. 115, num. 13, p. 131904. DOI : 10.1063/1.5119000.

Gravure printed Ag/conductive polymer electrodes and simulation of their electrical properties

R. Schneider; P. A. Losio; F. A. Nuesch; J. Heier 

International Journal Of Advanced Manufacturing Technology. 2019. Vol. 103, num. 9-12, p. 3901 – 3912. DOI : 10.1007/s00170-019-03835-7.

Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization

D. Rodrigues; D. Bonvin 

Industrial & Engineering Chemistry Research. 2019. Vol. 58, num. 26, p. 11199 – 11212. DOI : 10.1021/acs.iecr.8b05512.

Distributed modifier-adaptation schemes for the real-time optimisation of uncertain interconnected systems

R. Schneider; P. Milosavljevic; D. Bonvin 

International Journal Of Control. 2019. Vol. 92, num. 5, p. 1123 – 1136. DOI : 10.1080/00207179.2017.1383632.

SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications

L. Ferranti; Y. Pu; C. N. Jones; T. Keviczky 

Ieee Transactions On Automatic Control. 2019. Vol. 64, num. 5, p. 1800 – 1815. DOI : 10.1109/TAC.2018.284956.

A Battery-Less Photovoltaic Water-Pumping System With Low Decoupling Capacitance

E. T. Maddalena; C. G. da Silva Moraes; G. Braganca; L. Galotto Junior; R. B. Godoy et al. 

IEEE Transactions On Industry Applications. 2019. Vol. 55, num. 3, p. 2263 – 2271. DOI : 10.1109/TIA.2019.2900412.

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

A. Nicoletti; A. Karimi 

International Journal Of Robust And Nonlinear Control. 2019. Vol. 29, num. 5, p. 1361 – 1376. DOI : 10.1002/rnc.4439.

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

D. Rodrigues; J. Billeter; D. Bonvin 

Computers & Chemical Engineering. 2019. Vol. 122, p. 152 – 171. DOI : 10.1016/j.compchemeng.2018.05.024.

A data-driven approach to model-reference control with applications to particle accelerator power converters

A. Nicoletti; M. Martino; A. Karimi 

Control Engineering Practice. 2019. Vol. 83, p. 11 – 20. DOI : 10.1016/j.conengprac.2018.10.007.

Incremental Parameter Estimation under Rank-Deficient Measurement Conditions

K. Villez; J. Billeter; D. Bonvin 

Processes. 2019. Vol. 7, num. 2, p. 75. DOI : 10.3390/pr7020075.

Conference Papers

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint

Y. Lian; C. Jones 

2019. The 58th IEEE Conference on Decision and Control, Nice, France, December 11th-13th 2019. p. 860 – 866. DOI : 10.1109/CDC40024.2019.9029189.

A Time Splitting Based Real-Time Iteration Scheme for Nonlinear MPC

Y. Jiang; C. N. Jones; B. Houska 

2019. 58th IEEE Conference on Decision and Control (CDC), Nice, FRANCE, Dec 11-13, 2019. p. 2350 – 2355. DOI : 10.1109/CDC40024.2019.9029760.

Reviews

Distributed state estimation for discrete-time linear time invariant systems: A survey

F. F. C. Rego; A. M. Pascoal; A. P. Aguiar; C. N. Jones 

Annual Reviews In Control. 2019. Vol. 48, p. 36 – 56. DOI : 10.1016/j.arcontrol.2019.08.003.

Theses

Model-based predictive control methods for distributed energy resources in smart grids.

L. Fabietti / C. N. Jones (Dir.)  

Lausanne, EPFL, 2019. 

Low-Complexity Optimization-Based Control: Design, Methods and Applications

I. Pejcic / C. N. Jones (Dir.)  

Lausanne, EPFL, 2019. 

Kernel methods and Model predictive approaches for Learning and Control

S. S. Diwale / C. N. Jones (Dir.)  

Lausanne, EPFL, 2019. 

Working Papers

A Generalized Representer Theorem for Hilbert Space – Valued Functions

S. S. Diwale; C. Jones 

2019

Manifold Learning and Optimal Control for Obstacle Avoidance in Autonomous Driving

S. S. Diwale; T. D. Son; C. Jones 

2019

Reports

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

E. Maddalena; C. Jones 

2019

Posters

PolyMPC: An Efficient Tool for Embedded Model Predictive Control for Fast Mechatronic Systems

P. Listov; M. Spieler; C. Jones 

Airborne Wind Energy Conference 2019: (AWEC 2019), Glasgow, Scotland, UK, October 15-16, 2019.

Patents

System and method for operating a combination of heterogeneous energy resources for fast grid services

C. Jones; I. Lymperopoulos; T. Gorecki; L. Fabietti; F. Qureshi 

WO2019158575.

2019.

2018

Journal Articles

Experimental Implementation of Frequency Regulation Service Using Commercial Buildings

L. Fabietti; T. T. Gorecki; F. A. Qureshi; A. Bitlislioglu; I. Lymperopoulos et al. 

IEEE Transactions on Smart Grid. 2018. Vol. 9, num. 3, p. 1657 – 1666. DOI : 10.1109/TSG.2016.2597002.

Challenges in process optimization for new feedstocks and energy sources

A. Mitsos; N. Asprion; C. Floudas; M. Bortz; M. Baldea et al. 

COMPUTERS AND CHEMICAL ENGINEERING. 2018. Vol. 113, p. 209 – 221. DOI : 10.1016/j.compchemeng.2018.03.013.

Computationally efficient NMPC for batch and semi-batch processes using parsimonious input parameterization

E. Aydin; D. Bonvin; K. Sundmacher 

JOURNAL OF PROCESS CONTROL. 2018. Vol. 66, p. 12 – 22. DOI : 10.1016/j.jprocont.2018.02.012.

Neglected nano-effects of nanoparticles in the interpretation of their toxicity

M. Ebersold; D. Bonvin; H. Hofmann 

ANALYST. 2018. Vol. 143, num. 4, p. 837 – 842. DOI : 10.1039/c7an01707c.

Economic Nonlinear Model Predictive Control: Stability, Optimality and Performance

T. Faulwasser; L. GrĂŒne; M. MĂŒller 

Foundations and Trends in Systems and Control. 2018. Vol. 5, num. 1, p. 1 – 98. DOI : 10.1561/2600000014.

Hierarchical control of building HVAC system for ancillary services provision

F. Qureshi; C. Jones 

Energy and Buildings. 2018. Vol. 169, p. 216 – 227. DOI : 10.1016/j.enbuild.2018.03.004.

Economic Advantages of Office Buildings Providing Ancillary Services with Intraday Participation

F. A. Qureshi; I. Lymperopoulos; A. A. Khatir; C. Jones 

IEEE Transactions on Smart Grid. 2018. Vol. 9, num. 4, p. 3443 – 3452. DOI : 10.1109/TSG.2016.2632239.

On decoupling rate processes in chemical reaction systems – Methods and applications

J. Billeter; D. Rodrigues; S. Srinivasan; M. Amrhein; D. Bonvin 

Computers and Chemical Engineering. 2018. Vol. 114, p. 296 – 305. DOI : 10.1016/j.compchemeng.2017.09.021.

Fast Estimation of Plant Steady State for Imperfectly Known Dynamic Systems, with Application to Real-Time Optimization

D. Rodrigues; M. Amrhein; J. Billeter; D. Bonvin 

INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH. 2018. Vol. 57, num. 10, p. 3699 – 3716. DOI : 10.1021/acs.iecr.7b04631.

Active directional modifier adaptation for real-time optimization

M. Singhal; A. Marchetti; T. Faulwasser; D. Bonvin 

COMPUTERS AND CHEMICAL ENGINEERING. 2018. Vol. 115, p. 246 – 261. DOI : 10.1016/j.compchemeng.2018.02.016.

Next Steps in Supporting More Students in MOOL for Control Education

C. Salzmann; D. Gillet 

IFAC PAPERSONLINE. 2018. Vol. 51, num. 4, p. 184 – 189. DOI : 10.1016/j.ifacol.2018.06.063.

NMPC using Pontryagin’s Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty

E. Aydin; D. Bonvin; K. Sundmacher 

COMPUTERS AND CHEMICAL ENGINEERING. 2018. Vol. 108, p. 47 – 56. DOI : 10.1016/j.compchemeng.2017.08.010.

Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization

E. Aydin; D. Bonvin; K. Sundmacher 

INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH. 2018. Vol. 57, num. 30, p. 10038 – 10048. DOI : 10.1021/acs.iecr.8b02109.

A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations

P. Milosavljevic; R. Schneider; A. Cortinovis; T. Faulwasser; D. Bonvin 

COMPUTERS AND CHEMICAL ENGINEERING. 2018. Vol. 115, p. 474 – 486. DOI : 10.1016/j.compchemeng.2018.05.006.

Multi-time scale coordination of complementary resources for the provision of ancillary services

L. Fabietti; F. A. Qureshi; T. T. Gorecki; C. Salzmann; C. N. Jones 

Applied Energy. 2018. Vol. 229, p. 1164 – 1180. DOI : 10.1016/j.apenergy.2018.08.045.

Conference Papers

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

G. Stathopoulos; C. Jones 

2018. European Control Conference 2018 (ECC 2018), Limassol, Cyprus, June 12-15, 2018. p. 1773 – 1778. DOI : 10.23919/ECC.2018.8550278.

An ADMM-Based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation

R. Gupta; F. Sossan; E. Scolari; E. Namor; L. Fabietti et al. 

2018. 20th Power Systems Computation Conference, Dublin, Ireland, 11-15 June, 2018. p. 1 – 7. DOI : 10.23919/PSCC.2018.8450879.

A design method for distributed luenberger observers

F. F. C. Rego; A. P. Aguiar; A. M. Pascoal; C. N. Jones 

2018. IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, VIC, Australia, December, 12-15, 2017. p. 3374 – 3379. DOI : 10.1109/CDC.2017.8264153.

Optimal Load Sharing for Serial Compressors via Modifier Adaptation

P. Milosavljevic; A. Cortinovis; R. Schneider; T. Faulwasser; M. Mercangoz et al. 

2018. European Control Conference (ECC), Limassol, CYPRUS, Jun 12-15, 2018. p. 2306 – 2311. DOI : 10.23919/ECC.2018.8550102.

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

N. T. Hung; F. Rego; N. Crasta; A. M. Pascoal 

2018. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS), Opatija, CROATIA, Sep 10-12, 2018. p. 348 – 353. DOI : 10.1016/j.ifacol.2018.09.499.

Active Directional Modifier Adaptation with Trust Region – Application to Energy-Harvesting Kites

M. Jonin; M. Singhal; S. Diwale; C. N. Jones; D. Bonvin 

2018. European Control Conference (ECC), Limassol, CYPRUS, Jun 12-15, 2018. p. 2312 – 2317. DOI : 10.23919/ECC.2018.8550509.

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

A. Nicoletti; A. Karimi 

2018. European Control Conference, Limassol, Cyprus, June 12-15, 2018. p. 1 – 6. DOI : 10.23919/ECC.2018.8550381.

Collecting Experience Data from Remotely Hosted Learning Applications

F. J. Garcia Clemente; L. de la Torre; S. Dormido; C. Salzmann; D. Gillet 

2018. 14th International Conference on Remote Engineering and Virtual Instrumentation (REV), New York, NY, Mar 15-17, 2017. p. 170 – 181. DOI : 10.1007/978-3-319-64352-6_17.

A Data-Driven Fixed-Structure Control Design Method with Application to a 2-DOF Gyroscope

C. M. Kammer; A. Karimi 

2018. 2nd IEEE Conference on Control Technology and Applications, Copenhagen, Denmark, August 21-24, 2018. p. 915 – 920. DOI : 10.1109/CCTA.2018.8511429.

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

T. d. A. Ferreira; H. A. Shukla; T. Faulwasser; C. N. Jones; D. Bonvin 

2018. European Control Conference (ECC), Limassol, CYPRUS, Jun 12-15, 2018. p. 466 – 471. DOI : 10.23919/ECC.2018.8550397.

Learning Proximal Operators with Gaussian Processes

T. X. Nghiem; G. Stathopoulos; C. N. Jones 

2018. 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, Oct 02-05, 2018. p. 935 – 942. DOI : 10.1109/ALLERTON.2018.8635898.

Use of model predictive control for short-term operating reserve using commercial buildings in the United Kingdom context

H. Bittel; C. N. Jones; A. Parisio 

2018. 57th IEEE Conference on Decision and Control (CDC), Miami Beach, FL, Dec 17-19, 2018. p. 7308 – 7313. DOI : 10.1109/CDC.2018.8619529.

Theses

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

A. Nicoletti / A. Karimi; M. Martino (Dir.)  

Lausanne, EPFL, 2018. 

Frequency-Domain Control Design in Power Systems

C. M. Kammer / A. Karimi (Dir.)  

Lausanne, EPFL, 2018. 

Distributed Optimization and Control using Operator Splitting Methods

G. Stathopoulos / C. N. Jones (Dir.)  

EPFL, 2018. 

Coordinated Optimization and Control for Smart Grids

A. Bitlislioglu / C. N. Jones (Dir.)  

Lausanne, EPFL, 2018. 

Distributed State Estimation and Cooperative Path-Following Under Communication Constraints

F. Fernandes Castro Rego / C. N. Jones; A. M. dos Santos Pascoal (Dir.)  

Lausanne, EPFL, 2018. 

Book Chapters

Standardization Layers for Remote Laboratories as Services and Open Educational Resources

W. Halimi; C. Salzmann; D. Gillet; H. Saliah-Hassane 

Lecture Notes in Networks and Systems; Springer, 2018. p. 874 – 884.

Reports

Provision of Ancillary Services utilizing a Network of Fast-Charging Stations for Electrical Buses

I. Lymperopoulos; F. A. Qureshi; A. Bitlislioglu; J. Poland; A. Zanarini et al. 

2018

2017

Journal Articles

Y Stability and performance verification of optimization-based controllers

M. Korda; C. Jones 

Automatica. 2017. Vol. 78, p. 34 – 45. DOI : 10.1016/j.automatica.2016.12.008.

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC

Y. Pu; M. N. Zeilinger; C. N. Jones 

Ieee Transactions On Automatic Control. 2017. Vol. 62, num. 2, p. 888 – 893. DOI : 10.1109/Tac.2016.2561407.

Experimental Demonstration of Buildings Providing Frequency Regulation Services in the Swiss Market

T. T. Gorecki; L. Fabietti; F. A. Qureshi; C. N. Jones 

Energy and Buildings. 2017. Vol. 144, p. 229 – 240. DOI : 10.1016/j.enbuild.2017.02.050.

An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs, Application to the Optimal Power Flow Problem

J-H. Hours; C. Jones 

Journal of Optimization Theory and Applications. 2017. Vol. 173, num. 3, p. 844 – 877. DOI : 10.1007/s10957-015-0853-2.

Convergence rates of moment-sum-of-squares hierarchies for optimal control problems

M. Korda; D. Henrion; C. N. Jones 

Systems & Control Letters. 2017. Vol. 100, p. 1 – 5. DOI : 10.1016/j.sysconle.2016.11.010.

Robust Tracking Commitment

A. Bitlislioglu; T. T. Gorecki; C. N. Jones 

IEEE Transactions on Automatic Control. 2017. Vol. 62, num. 9, p. 4451 – 4466. DOI : 10.1109/TAC.2017.2663766.

Solving the Infinite-horizon Constrained LQR Problem using Accelerated Dual Proximal Methods

G. Stathopoulos; M. Korda; C. Jones 

IEEE Transactions on Automatic Control. 2017. Vol. 62, num. 4, p. 1752 – 1767. DOI : 10.1109/Tac.2016.2594381.

On turnpike and dissipativity properties of continuous-time optimal control problems

T. Faulwasser; M. Korda; C. Jones; D. Bonvin 

Automatica. 2017. Vol. 81, p. 297 – 304. DOI : 10.1016/j.automatica.2017.03.012.

Quantization Design for Distributed Optimization

Y. Pu; M. N. Zeilinger; C. N. Jones 

Ieee Transactions On Automatic Control. 2017. Vol. 62, num. 5, p. 2107 – 2120. DOI : 10.1109/Tac.2016.2600597.

Conference Papers

Access to Massive Open Online Labs through a MOOC

W. Halimi; C. Salzmann; D. Gillet 

2017. L@S ’17, Cambridge, Massachusetts, USA, April 20-21, 2017. p. 331 – 334. DOI : 10.1145/3051457.3054017.

Constrained bundle methods with inexact minimization applied to the energy regulation provision problem

T. T. Gorecki; C. Jones 

2017. IFAC 2017 World congress20th IFAC World Congress, Toulouse, FranceToulouse, France, July 9-14. 2017July 2017. p. 12471 – 12476. DOI : 10.1016/j.ifacol.2017.08.1923.

Technical Report: Control of Nonlinear Systems with Explicit-MPC-like Controllers

I. Pejcic; M. Korda; C. Jones 

2017. The 56th IEEE Conference on Decision and Control, Melbourne, Australia, December 12-15, 2017. DOI : 10.1109/CDC.2017.8264394.

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

X. T. Nghiem; C. Jones 

2017. 2017 American Control Conference, Seattle, Washington, USA, May 24-26, 2017. p. 2919 – 2924. DOI : 10.23919/ACC.2017.7963394.

Model Predictive Path-Following Control for Airborne Wind Energy Systems

S. S. Diwale; T. Faulwasser; C. Jones 

2017. 20th IFAC World Congress, Toulouse, France, July 2017. p. 13270 – 13275. DOI : 10.1016/j.ifacol.2017.08.1964.

Constrained multi-rate state estimator incorporating delayed measurements

C. Srinesh; S. Narasimhan; S. Srinivasan; M. Amrhein; D. Bonvin 

2017. 21st International Conference on Process Control (PC), Strbske Pleso, Slovakia, June 06-09, 2017. p. 358 – 363. DOI : 10.1109/PC.2017.7976240.

Experimental Implementation of Frequency Regulation Services Using Commercial Buildings

L. Fabietti; T. T. Gorecki; F. A. Qureshi; A. Bitlislioglu; I. Lymperopoulos et al. 

2017. IEEE Manchester PowerTech, Manchester, England, June 18-22, 2017. DOI : 10.1109/PTC.2017.7980924.

On Coordinated Primal-Dual Interior-Point Methods for Multi-Agent Optimization

A. Bitlislioglu; C. Jones 

2017. 56th IEEE Conference on Decision and Control, Melbourne, Australia, December 12-15, 2017. DOI : 10.1109/CDC.2017.8264177.

Dispatching active distribution networks through electrochemical storage systems and demand side management

L. Fabietti; T. T. Gorecki; E. Namor; F. Sossan; M. Paolone et al. 

2017. 1st IEEE Conference on Control Technology and Applications, Big Island, Hawaii, USA, August 27-30, 2017. DOI : 10.1109/CCTA.2017.8062629.

Enabling the Automatic Generation of User Interfaces for Remote Laboratories

W. Halimi; C. Salzmann; H. Jamkojian; D. Gillet 

2017. 14th International Conference on Remote Engineering and Virtual Instrumentation (REV), New York, New York, USA, March 15-17, 2017. p. 778 – 793. DOI : 10.1007/978-3-319-64352-6_73.

Real-Time Distributed Algorithms for Nonconvex Optimal Power Flow

Y. Liu; J-H. Hours; G. Stathopoulos; C. Jones 

2017. 2017 American Control Conference, Seattle, WA, USA, May 24–26, 2017. DOI : 10.23919/ACC.2017.7963469.

Technical Report: Voltage Source Converter MPC with Optimized Pulse Patterns and minimization of Integrated Squared Tracking Error

I. Pejcic; S. AlmĂ©r; H. Peyrl 

2017. American Control Conference (ACC), 2017, Seattle, WA, USA, 24-26 May 2017. DOI : 10.23919/ACC.2017.7963579.

Interior Point Decomposition for Multi-Agent Optimization

A. Bitlislioglu; I. Pejcic; C. Jones 

2017. 20th IFAC World Congress, Toulouse, France, 9-14 July, 2017. p. 233 – 238. DOI : 10.1016/j.ifacol.2017.08.039.

Theses

Predictive Control of Buildings for Demand Response and Ancillary Services Provision

F. A. Qureshi / C. N. Jones (Dir.)  

Lausanne, EPFL, 2017. 

Predictive Control methods for Building Control and Demand Response

T. T. Gorecki / C. N. Jones (Dir.)  

Lausanne, EPFL, 2017. 

Book Chapters

Enabling the Automatic Generation of User Interfaces for Remote Laboratories

W. Halimi; C. Salzmann; H. Jamkojian; D. Gillet 

Lecture Notes in Networks and Systems; Springer, 2017. p. 778 – 793.

Working Papers

Aircraft Model Simulation and Validation

P. Listov 

2017

Reports

Hierarchical Control of Building HVAC System for Ancillary Services Provision

F. A. Qureshi; C. Jones 

2017

Path Following using adaptive and stochastic MPC schemes and machine learning tools

A. Vardi 

2017

On Generalized Primal-Dual Interior-Point Methods with Non-uniform Complementarity Perturbations for Quadratic Programming

A. Bitlislioglu; C. Jones 

2017

2016

Journal Articles

Distributed synthesis and stability of cooperative distributed model predictive control for linear systems

C. Conte; C. Jones; M. Morari; M. N. Zeilinger 

Automatica. 2016. Vol. 69, p. 117 – 125. DOI : 10.1016/j.automatica.2016.02.009.

Controller design and value function approximation for nonlinear dynamical systems

M. Korda; D. Henrion; C. Jones 

Automatica. 2016. Vol. 67, p. 54 – 67. DOI : 10.1016/j.automatica.2016.01.022.

Special section on Nonlinear Model Predictive Control

D. Limon; D. Munoz De La Pena; C. N. Jones 

Annual Reviews In Control. 2016. Vol. 41, p. 183 – 183. DOI : 10.1016/j.arcontrol.2016.04.007.

On convergence and performance certification of a continuous-time economic model predictive control scheme with time-varying performance index

A. Alessandretti; A. P. Aguiar; C. N. Jones 

Automatica. 2016. Vol. 68, p. 305 – 313. DOI : 10.1016/j.automatica.2016.01.020.

A Parametric Nonconvex Decomposition Algorithm for Real-Time and Distributed NMPC

J-H. Hours; C. N. Jones 

Ieee Transactions On Automatic Control. 2016. Vol. 61, num. 2, p. 287 – 302. DOI : 10.1109/Tac.2015.2426231.

MPC for Tracking Periodic References

D. Limon; M. Pereira; D. Munoz De La Pena; T. Alamo; C. Jones et al. 

IEEE Transactions On Automatic Control. 2016. Vol. 61, num. 4, p. 1123 – 1128. DOI : 10.1109/Tac.2015.2461811.

Long horizon input parameterisations to enlarge the region of attraction of MPC

B. Khan; G. Valencia-Palomo; J. A. Rossiter; C. N. Jones; R. Gondhalekar 

Optimal Control Applications & Methods. 2016. Vol. 37, num. 1, p. 139 – 153. DOI : 10.1002/oca.2158.

Operator Splitting Methods in Control

G. Stathopoulos; H. A. Shukla; A. Szuecs; Y. Pu; C. Jones 

Foundations and Trends in Systems and Control. 2016. Vol. 3, num. 3, p. 249 – 362. DOI : 10.1561/2600000008.

Conference Papers

Stochastic MPC for Controlling the Average Constraint Violation for Periodic Linear System with Additive Disturbance

L. Fabietti; C. Jones 

2016. American Control Conference, Boston, MA, USA, July 6-8, 2016. DOI : 10.1109/ACC.2016.7526515.

Sensor Fault Tolerance in Output Feedback Nonlinear Model Predictive Control

B. R. Knudsen; A. Alessandretti; C. Jones 

2016. 3rd Conference on Control and Fault-Tolerant Systems (SysTol), Barcelona, SPAIN, SEP 07-09, 2016. p. 711 – 716. DOI : 10.1109/SYSTOL.2016.7739832.

A Nonlinear Adaptive Controller for Airborne Wind Energy Systems

S. S. Diwale; A. Alessandretti; I. Lymperopoulos; C. Jones 

2016. American Control Conference (ACC), Boston, MA, USA, July 6-8, 2016. p. 4101 – 4106. DOI : 10.1109/ACC.2016.7525566.

A parametric augmented Lagrangian algorithm for real-time economic NMPC

J-H. Hours; H. Shukla; C. N. Jones 

2016. European Control Conference (ECC), Aalborg, DENMARK, JUN 29-JUL 01, 2016. p. 123 – 128. DOI : 10.1109/ECC.2016.7810274.

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

F. F. C. Rego; Y. Pu; A. Alessandretti; A. P. Aguiar; A. M. Pascoal et al. 

2016. American Control Conference (ACC), Boston, MA, JUL 06-08, 2016. p. 6393 – 6398. DOI : 10.1109/ACC.2016.7526675.

OpenBuildNet Framework for Distributed Co-Simulation of Smart Energy Systems

X. T. Nghiem; A. Bitlislioglu; T. T. Gorecki; F. A. Qureshi; C. Jones 

2016. 14th International Conference on Control, Automation, Robotics and Vision, Phuket, Thailand, November 13-15, 2016. DOI : 10.1109/ICARCV.2016.7838701.

Constrained LQR Using Online Decomposition Techniques

L. Ferranti; G. Stathopoulos; C. Jones; T. Keviczky 

2016. 55th IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, December 12-14, 2016. DOI : 10.1109/CDC.2016.7798612.

The Mach-Zehnder Interferometer: A smart remote experiment based on a software template

W. Halimi; C. Salzmann; D. Gillet 

2016. 13th International Conference on Remote Engineering and Virtual Instrumentation (REV), Madrid, Spain, February 24-26, 2016. p. 287 – 292. DOI : 10.1109/REV.2016.7444485.

Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

I. Pejcic; C. Jones 

2016. European Control Conference (ECC), Aalborg, Denmark, June 29 – July 1, 2016. p. 1952 – 1957. DOI : 10.1109/ECC.2016.7810577.

Theses

Continuous-time Model Predictive Control for Economic Optimization : Theory, Design, and Applications to Motion Control of Underactuated Vehicles

A. Alessandretti / C. N. Jones; A. M. dos Santos Pascoal (Dir.)  

Lausanne, EPFL, 2016. 

Decomposition Strategies for Nonconvex Problems, a Parametric Approach

J-H. Hours / C. N. Jones (Dir.)  

Lausanne, EPFL, 2016. 

Splitting Methods for Distributed Optimization and Control

Y. Pu / C. N. Jones; M. N. Zeilinger (Dir.)  

Lausanne, EPFL, 2016. 

Moment-sum-of-squares hierarchies for set approximation and optimal control

M. Korda / C. N. Jones (Dir.)  

Lausanne, EPFL, 2016. 

Reports

Proofs of Lemmas of the Paper Design of a Distributed Quantized Luenberger Filter for Bounded Noise

F. Fernandes Castro Rego; Y. Pu; A. Alessandretti; A. P. Aguiar; C. Jones 

2016

Complement to the Paper Stochastic MPC for Controlling the Average Constraint Violation of Periodic Linear Systems with Additive Disturbances

J. C. N. Fabietti Luca 

2016

2015

Journal Articles

A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand

A. Parisi; C. Jones 

Omega-International Journal Of Management Science. 2015. Vol. 53, p. 97 – 103. DOI : 10.1016/j.omega.2015.01.003.

Multirate sliding mode disturbance compensation for model predictive control

D. M. Raimondo; M. Rubagotti; C. Jones; L. Magni; A. Ferrara et al. 

International Journal Of Robust And Nonlinear Control. 2015. Vol. 25, num. 16, p. 2984 – 3003. DOI : 10.1002/rnc.3244.

An Extensible Architecture for the Integration of Remote and Virtual Laboratories in Public Learning Tools

P. Orduna; D. Garbi Zutin; S. Govaerts; I. Lequerica Zorrozua; P. Bailey et al. 

IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 2015. Vol. 10, num. 4, p. 223 – 233. DOI : 10.1109/RITA.2015.2486338.

Constrained Spectrum Control

J-H. Hours; M. N. Zeilinger; R. Gondhalekar; C. Jones 

IEEE Transactions on Automatic Control. 2015. Vol. 60, num. 7, p. 1969 – 1974. DOI : 10.1109/TAC.2014.2364531.

Enumeration-based approach to solving parametric linear complementarity problems

M. Herceg; C. Jones; M. Kvasnica; M. Morari 

Automatica. 2015. Vol. 62, p. 243 – 248. DOI : 10.1016/j.automatica.2015.09.019.

An Optimization-based Approach to Extract Faceted Crystal Shapes from Stereoscopic Images

S. Schorsch; J-H. Hours; T. Vetter; M. Mazzotti; C. Jones 

Computers and Chemical Engineering. 2015. Vol. 75, p. 171 – 183. DOI : 10.1016/j.compchemeng.2015.01.016.

Conference Papers

Quantization Design for Unconstrained Distributed Optimization

Y. Pu; M. N. Zeilinger; C. Jones 

2015. The 2015 American Control Conference, Chicago, Illinois, USA, July 1–3, 2015. p. 1229 – 1234. DOI : 10.1109/ACC.2015.7170901.

The Smart Device Specification for Remote Labs

C. Salzmann; S. Govaerts; W. Halimi; D. Gillet 

2015. 6th International Conference on Remote Engineering and Virtual Instrumentation, IEEE REV2015, Bangkok, Thailand, February 25-28, 2015. p. 199 – 208. DOI : 10.1109/REV.2015.7087292.

The Smart Wind Turbine

W. Halimi; C. Salzmann; D. Gillet 

2015. Experiment@ International Conference (exp.at’15), 2015 3rd, Ponta Delgada, Portugal, June 2-4, 2015. DOI : 10.1109/EXPAT.2015.7463233.

Improved path following for kites with input delay compensation

N. Rontsis; S. Costello; I. Lymperopoulos; C. Jones 

2015. 2015 54th IEEE Conference on Decision and Control (CDC), Osaka, 15-18 December 2015. p. 656 – 663. DOI : 10.1109/CDC.2015.7402304.

Quantization design for distributed optimization with time-varying parameters

Y. Pu; M. N. Zeilinger; C. Jones 

2015. 54rd Conference on Decision and Control, Osaka, Japan, December 15-18, 2015. p. 2037 – 2042. DOI : 10.1109/CDC.2015.7402506.

A consensus algorithm for networks with process noise and quantization error

F. F. C. Rego; Y. Pu; A. Alessandretti; A. P. Aguiar; C. N. Jones 

2015. 2015 53rd Annual Allerton Conference on Communication, Control and Computing (Allerton), Monticello, IL, 29 September – 2 October 2015. p. 488 – 495. DOI : 10.1109/ALLERTON.2015.7447044.

Optimization of an Airborne Wind Energy System using Constrained Gaussian Processes with Transient Measurements

S. S. Diwale; I. Lymperopoulos; C. Jones 

2015. Indian Control Conference, IIT Madras, Chennai, 5-7 January, 2015.

Optimization Based Control for Target Estimation and Tracking via Highly Observable Trajectories An Application to Motion Control of Autonomous Robotic Vehicles

A. Alessandretti; A. P. Aguiar; C. Jones 

2015. 11th Portuguese Conference on Automatic Control. p. 495 – 504. DOI : 10.1007/978-3-319-10380-8_47.

Providing ancillary service with commercial buildings: the Swiss perspective

I. Lymperopoulos; F. A. Qureshi; X. T. Nghiem; A. Ahmadi Khatir; C. Jones 

2015. 9th IFAC International Symposium on AdvancedControl of Chemical Processes (ADCHEM), Whistler, British Columbia, Canada., June 7-10, 2015. p. 6 – 13. DOI : 10.1016/j.ifacol.2015.08.149.

A virtual vehicle approach to distributed control for formation keeping of underactuated vehicles

Y. Roth; A. Alessandretti; A. P. Aguiar; C. Jones 

2015. 1st Indian Control Conference (ICC 2015), IIT Madras, Chennai, India, January 5-7, 2015.

Guaranteeing Input Tracking For Constrained Systems: Theory and Application to Demand Response

T. T. Gorecki; A. Bitlislioglu; G. Stathopoulos; C. Jones 

2015. 2015 American Control Conference, Chicago, Illinois, USA, July 1-3, 2015. DOI : 10.1109/ACC.2015.7170741.

A Model Predictive Control scheme with Ultimate Bound for Economic Optimization

A. Alessandretti; A. P. Aguiar; C. Jones 

2015. 2015 American Control Conference, Chicago, Illinois, USA, July 1-3 in. p. 1653 – 1658. DOI : 10.1109/ACC.2015.7170970.

OpenBuild : An Integrated Simulation Environment for Building Control

T. T. Gorecki; F. A. Qureshi; C. Jones 

2015. 2015 IEEE Conference on Control Applications (CCA), Sydney, NSW, Australia, 21-23 Sept. 2015. DOI : 10.1109/CCA.2015.7320826.

Working Papers

Gaussian Processes for System Identification, Control and Optimisation

S. S. Diwale 

2015

Reports

An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs Application to the AC Optimal Power Flow

J-H. Hours; C. Jones 

2015

Quantization Design for Distributed Optimization

Y. Pu; M. N. Zeilinger; C. Jones 

2015

Stability and Performance Verification of Optimization-based Controllers

M. Korda; C. Jones 

2015

Robust Tracking Commitment with Application to Demand Response

A. Bitlislioglu; T. T. Gorecki; C. Jones 

2015

Talks

Predictive Control of an Airborne Wind Energy System using Gaussian Process Models

S. S. Diwale 

Airborne Wind Energy Conference 2015, Delft, Netherlands, June 15-16, 2015.

2014

Journal Articles

Stochastic Model Predictive Control for Building Climate Control

F. Oldewurtel; C. N. Jones; A. Parisio; M. Morari 

IEEE Transactions On Control Systems Technology. 2014. Vol. 22, num. 3, p. 1198 – 1205. DOI : 10.1109/TCST.2013.2272178.

Soft Constrained Model Predictive Control With Robust Stability Guarantees

M. N. Zeilinger; M. Morari; C. Jones 

Ieee Transactions On Automatic Control. 2014. Vol. 59, num. 5, p. 1190 – 1202. DOI : 10.1109/Tac.2014.2304371.

On real-time robust model predictive control

M. N. Zeilinger; D. M. Raimondo; A. Domahidi; M. Morari; C. Jones 

Automatica. 2014. Vol. 50, num. 3, p. 683 – 694. DOI : 10.1016/j.automatica.2013.11.019.

Learning decision rules for energy efficient building control

A. Domahidi; F. Ullmann; M. Morari; C. Jones 

Journal Of Process Control. 2014. Vol. 24, num. 6, p. 763 – 772. DOI : 10.1016/j.jprocont.2014.01.006.

Stochastic MPC framework for controlling the average constraint violation

M. Korda; R. Gondhalekar; F. Oldewurtel; C. Jones 

IEEE Transactions on Automatic Control. 2014. Vol. 59, num. 7, p. 1706 – 1721. DOI : 10.1109/TAC.2014.2310066.

Convex computation of the maximum controlled invariant set for polynomial control systems

M. Korda; D. Henrion; C. Jones 

Siam Journal on Control and Optimization. 2014. Vol. 52, num. 5, p. 2944 – 2969. DOI : 10.1137/130914565.

Dominant speed factors of active set methods for fast MPC

M. Herceg; C. Jones; M. Morari 

Optimal Control Applications & Methods. 2014. Vol. 36, num. 5, p. 608 – 627. DOI : 10.1002/oca.2140.

Conference Papers

Optimization based control for target estimation and tracking via highly observable trajectories

A. Alessandretti; A. P. Aguiar; C. N. Jones 

2014. 11th Portuguese Conference on Automatic Control – CONTROLO 2014, Porto, Portugal, July 21-23, 2014.

Optimal design of observable multi-agent networks: A structural system approach

S. Pequito; F. Fernandes Castro Rego; S. Kar; A. P. Aguiar; A. Pascoal et al. 

2014. 2014 European Control Conference (ECC), Strasbourg, France, June 25-27, 2014. p. 1536 – 1541. DOI : 10.1109/ECC.2014.6862577.

Rich Open Educational Resources for Personal and Inquiry Learning. Agile Creation, Sharing and Reuse in Educational Social Media Platforms

M. J. Rodriguez Triana; S. Govaerts; W. Halimi; A. C. Holzer; C. Salzmann et al. 

2014. International Conference on Web & Open Access to Learning, Dubai, United Arab Emirates, November 25-27, 2014.

Solving the infinite-horizon constrained LQR problem using splitting techniques

G. Stathopoulos; M. Korda; C. N. Jones 

2014. 19th IFAC World Congress, Cape Town, South Africa, p. 2285 – 2290. DOI : 10.3182/20140824-6-ZA-1003.00650.

Splitting methods in control

G. Stathopoulos; A. SzĂŒcs; Y. Pu; C. Jones 

2014. 13th European Control Conference, Strasbourg, France, June 24-27 2014. p. 2478 – 2483. DOI : 10.1109/ECC.2014.6862635.

An Economic Model Predictive Control scheme with terminal penalty for continuous-time systems

A. Alessandretti; A. P. Aguiar; C. Jones 

2014. 53nd IEEE Conference on Decision and Control (CDC), Los Angeles, CA, USA, December 15-17, 2014. p. 2728 – 2733. DOI : 10.1109/CDC.2014.7039807.

Controller design and region of attraction estimation for nonlinear dynamical systems

M. Korda; D. Henrion; C. Jones 

2014. The 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 24-29, 2014. p. 2310 – 2316. DOI : 10.3182/20140824-6-ZA-1003.00117.

Inexact Fast Alternating Minimization Algorithm for Distributed Model Predictive Control

Y. Pu; M. N. Zeilinger; C. Jones 

2014. 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, December 15-17, 2014. p. 5915 – 5921. DOI : 10.1109/CDC.2014.7040315.

Flexible triangular formation keeping of marine robotic vehicles using range measurements.

F. Fernandes Castro Rego; J. M. Soares; A. Pascoal; A. P. Aguiar; C. Jones 

2014. 19th IFAC World Congress, Cape Town, South Africa, August 2014. p. 5145 – 5150. DOI : 10.3182/20140824-6-ZA-1003.02435.

Fast Alternating Minimization Algorithm for Model Predictive Control

Y. Pu; M. N. Zeilinger; C. Jones 

2014. 19th IFAC World Congress, Cape Town, South Africa, 8-24, 2014. p. 11980 – 11986. DOI : 10.3182/20140824-6-ZA-1003.01432.

Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC

T. Faulwasser; M. Korda; C. Jones; D. Bonvin 

2014. 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, December 15-17, 2014. p. 2734 – 2739. DOI : 10.1109/CDC.2014.7039808.

Laboratory as a Service (LaaS): a Model for Developing and Implementing Remote Laboratories as Modular Components

M. Tawfik; C. Salzmann; D. Gillet; D. Lowe; H. Saliah-Hassane et al. 

2014. 11th International Conference on Remote Engineering and Virtual Instrumentation (REV). p. 11 – 20. DOI : 10.1109/REV.2014.6784238.

Optimization of an Airborne Wind Energy System Using Constrained Gaussian Processes

S. S. Diwale; I. Lymperopoulos; C. Jones 

2014. IEEE Multi-Conference on Systems and Control, Antibes/Nice, 8-10 October, 2014. p. 1394 – 1399. DOI : 10.1109/CCA.2014.6981519.

Model Predictive Control for Market-Based Demand Response Participation

F. A. Qureshi; T. T. Gorecki; C. Jones 

2014. 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, 24-29 August 2014.

A parametric multi-convex splitting technique with application to real-time NMPC

J-H. Hours; C. Jones 

2014. 53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, December 15-17, 2014. p. 5052 – 5057. DOI : 10.1109/CDC.2014.7040178.

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

J-H. Hours; C. Jones 

2014. 2014 American Control Conference, Portland, Oregon, USA, June 4-6, 2014. p. 4312 – 4317. DOI : 10.1109/ACC.2014.6858863.

Certification of fixed computation time first-order optimization-based controllers for a class of nonlinear dynamical systems

M. Korda; C. Jones 

2014. American Control Conference, Portland, Oregon, USA, June 4 – 6, 2014. p. 3602 – 3608. DOI : 10.1109/ACC.2014.6858719.

Reports

A Parametric Non-Convex Decomposition Algorithm for Real-Time and Distributed NMPC

J-H. Hours; C. Jones 

2014

Solving the infinite-horizon constrained LQR problem using splitting techniques

G. Stathopoulos; M. Korda; C. Jones 

2014

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear Model Predictive Control

Y. Pu; M. N. Zeilinger; C. Jones 

2014

Optimal control for power generating kites

S. S. Diwale 

2014

2013

Conference Papers

Convex computation of the maximum controlled invariant set for discrete-time polynomial control systems

M. Korda; D. Henrion; C. Jones 

2013. IEEE Conference on Decision and Control, Florence, Italy, December 10-13, 2013. p. 7107 – 7112. DOI : 10.1109/CDC.2013.6761016.

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

A. Alessandretti; A. P. Aguiar; C. Jones 

2013. European Control Conference (ECC). p. 1371 – 1376. DOI : 10.23919/ECC.2013.6669717.

Convex computation of the region of attraction of polynomial control systems

D. Henrion; M. Korda 

2013. European Control Conference (ECC), Zurich, Switzerland, July 17-19, 2013. p. 676 – 681. DOI : 10.23919/ECC.2013.6669153.

A hierarchical time-splitting approach for solving finite-time optimal control problems

G. Stathopoulos; T. Keviczky; Y. Wang 

2013. 12th European Control Conference, Zurich, Switzerland, July, 2013. p. 3089 – 3094. DOI : 10.23919/ECC.2013.6669702.

Reports

A symbolic approach to decentralized supervisory control of hybrid systems

N. Bajcinca; Y. Pu 

2013

2012

Conference Papers

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

M. Korda; R. Gondhalekar; F. Oldewurtel; C. Jones 

2012. 51st IEEE Conference on Decision and Control (CDC 2012), Maui, Hawaii, USA, December 10-13, 2012. p. 4529 – 4536. DOI : 10.1109/CDC.2012.6426873.