(Only the first 500 entries are displayed)
2026
Maximum likelihood inference for high-dimensional problems with multiaffine variable relations
Automatica. 2026. Vol. 183, p. 112690. DOI : 10.1016/j.automatica.2025.112690.2025
Distributionally robust infinite-horizon control: from a pool of samples to the design of dependable controllers
IEEE Transactions on Automatic Control. 2025. DOI : 10.1109/tac.2025.3560542.On the Guarantees of Minimizing Regret in Receding Horizon
IEEE TRANSACTIONS ON AUTOMATIC CONTROL. 2025. Vol. 70, num. 3, p. 1547 – 1562. DOI : 10.1109/TAC.2024.3464013.Dependable learning and control through Neural ODEs
Lausanne, EPFL, 2025.Ensuring Stability in Bilinear Structured State-Space Models via IQCs: A Free Parameterisation Approach
2025. 2025 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brazil, 2025-12-09 – 2025-12-12.Optimal Control under Uncertainty: From Regret Minimization to Distributional Robustness
Lausanne, EPFL, 2025.Erratum to âLearning to Boost the Performance of Stable Nonlinear Systemsâ
IEEE Open Journal of Control Systems. 2025. Vol. 4, p. 53 – 53. DOI : 10.1109/ojcsys.2025.3529361.Parametrizations of all stable closed-loop responses: From theory to neural network control design
Annual Reviews in Control. 2025. Vol. 60, p. 101012. DOI : 10.1016/j.arcontrol.2025.101012.2024
A PAC-Bayesian Framework for Optimal Control with Stability Guarantees
2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 8237 – 8244. DOI : 10.1109/cdc56724.2024.10886285.Neural Exponential Stabilization of Control-affine Nonlinear Systems
2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 8602 – 8607. DOI : 10.1109/CDC56724.2024.10886677.Neural Distributed Controllers with Port-Hamiltonian Structures
2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 8633 – 8638. DOI : 10.1109/CDC56724.2024.10886616.Optimal distributed control with stability guarantees by training a network of neural closed-loop maps
2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 3776 – 3781. DOI : 10.1109/CDC56724.2024.10886574.Regret optimal control for uncertain stochastic systems
EUROPEAN JOURNAL OF CONTROL. 2024. DOI : 10.1016/j.ejcon.2024.101051.Power grid parameter estimation without phase measurements: Theory and empirical validation
Electric Power Systems Research. 2024. Vol. 235, p. 110709. DOI : 10.1016/j.epsr.2024.110709.Hierarchical Control for Vehicle Repositioning in Autonomous Mobility-on-Demand Systems
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. 2024. DOI : 10.1109/TCST.2024.3448300.Closing the Gap to Quadratic Invariance: A Regret Minimization Approach to Optimal Distributed Control
2024. 2024 European Control Conference (ECC), Stockholm, Sweden, 2024-06-25 – 2024-06-28. p. 756 – 761. DOI : 10.23919/ecc64448.2024.10591017.A Coverage Control-Based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
Ieee Transactions On Control Systems Technology. 2024. DOI : 10.1109/TCST.2024.3375765.Estimation and control under uncertainty with application to power systems
Lausanne, EPFL, 2024.Learning to Boost the Performance of Stable Nonlinear Systems
IEEE Open Journal of Control Systems. 2024. Vol. 3, p. 342 – 357. DOI : 10.1109/OJCSYS.2024.3441768.Navigating the Loop: From Control Systems to Neural Networks and Back
Lausanne, EPFL, 2024.Learning to Optimize with Convergence Guarantees Using Nonlinear System Theory
IEEE Control Systems Letters. 2024. Vol. 8, p. 1355 – 1360. DOI : 10.1109/LCSYS.2024.3406967.Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators
2024. European Control Conference, Stockholm, Sweden, 2024-06-25 – 2024-06-28. p. 651 – 656. DOI : 10.23919/ECC64448.2024.10591242.SIMBa: System Identification Methods Leveraging Backpropagation
IEEE Transactions on Control Systems Technology. 2024. DOI : 10.1109/TCST.2024.3477301.Stable Linear Subspace Identification: A Machine Learning Approach
2024. European Control Conference, Stockholm, Sweden, 2024-06-25 – 2024-06-28. p. 3539 – 3544. DOI : 10.23919/ECC64448.2024.10590843.2023
Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data
Ieee Transactions On Automatic Control. 2023. Vol. 68, num. 5, p. 2699 – 2714. DOI : 10.1109/TAC.2022.3180692.Bayesian Error-in-Variables Models for the Identification of Distribution Grids
Ieee Transactions On Smart Grid. 2023. Vol. 14, num. 2, p. 1289 – 1299. DOI : 10.1109/TSG.2022.3211546.Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design
IEEE Transactions on Automatic Control. 2023. p. 1 – 8. DOI : 10.1109/TAC.2023.3239430.Minimal regret state estimation of time-varying systems
2023. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, JAPAN, JUL 09-14, 2023. p. 2595 – 2600. DOI : 10.1016/j.ifacol.2023.10.1345.Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control
2023. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, JAPAN, JUL 09-14, 2023. p. 2589 – 2594. DOI : 10.1016/j.ifacol.2023.10.1344.Data-Driven Control and Optimization under Noisy and Uncertain Conditions
Lausanne, EPFL, 2023.Maximum likelihood estimation of distribution grid topology and parameters from Smart Meter data
2023. IEEE PES Grid Edge Technologies Conference and Exposition (Grid Edge), San Diego, CA, Apr 10-13, 2023. DOI : 10.1109/GridEdge54130.2023.10102720.Regularization for distributionally robust state estimation and prediction
2023. DOI : 10.48550/arxiv.2304.09921.Regularization for distributionally robust state estimation and prediction
2023.On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller
IEEE Transactions on Automatic Control. 2023. Vol. 68, num. 1, p. 556 – 563. DOI : 10.1109/TAC.2022.3148227.Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations
2023. 21st European Control Conference – ECC2023, Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178374.Equilibria in Network Constrained Energy Markets
2023. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, JAPAN, JUL 09-14, 2023. p. 4168 – 4172. DOI : 10.1016/j.ifacol.2023.10.1760.Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations
2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 3043 – 3048. DOI : 10.1109/CDC49753.2023.10383704.Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology
2023. 62nd IEEE Conference on Decision and Control (CDC), Singapore, SINGAPORE, DEC 13-15, 2023. p. 3764 – 3769. DOI : 10.1109/CDC49753.2023.10383790.Homothetic Tube Model Predictive Control With Multi-Step Predictors
Ieee Control Systems Letters. 2023. Vol. 7, p. 3561 – 3566. DOI : 10.1109/LCSYS.2023.3336261.2022
Neural Energy Casimir Control for Port-Hamiltonian Systems
2022. 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, December 6-9, 2022. DOI : 10.1109/CDC51059.2022.9992784.A Unified Passivity-Based Framework for Control of Modular Islanded AC Microgrids
Ieee Transactions On Control Systems Technology. 2022. Vol. 30, num. 5, p. 1960 – 1976. DOI : 10.1109/TCST.2021.3136489.Robust Classification Using Contractive Hamiltonian Neural ODEs
Ieee Control Systems Letters. 2022. Vol. 7, p. 145 – 150. DOI : 10.1109/LCSYS.2022.3186959.Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
Ieee Transactions On Control Systems Technology. 2022. DOI : 10.1109/TCST.2022.3183164.Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
2022. 4th Annual Conference on Learning for Dynamics and Control, Stanford, California, USA, June 23-24, 2022. p. 571 – 583.Data-driven and Safe Networked Control with Applications to Microgrids
Lausanne, EPFL, 2022.Data-Driven Unknown-Input Observers and State Estimation
IEEE Control Systems Letters. 2022. Vol. 6, p. 1424 – 1429. DOI : 10.1109/LCSYS.2021.3102821.Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems
2022. 61st IEEE Conference on Decision and Control (CDC), CancĂșn, Mexico, December 6-9, 2022. DOI : 10.1109/CDC51059.2022.9992492.Consensus-Based Current Sharing and Voltage Balancing in DC Microgrids with Exponential Loads
IEEE Transactions on Control Systems Technology. 2022. Vol. 30, num. 4, p. 1668 – 1680. DOI : 10.1109/TCST.2021.3120321.2021
Supervised model predictive control of large-scale electricity networks via clustering methods
Optimal Control Applications & Methods. 2021. Vol. 43, num. 1, p. 44 – 64. DOI : 10.1002/oca.2725.L2 output feedback control of delayed linear parameter varying systems with piecewise constant parameters: A clock-dependent L-K approach
International Journal Of Robust And Nonlinear Control. 2021. Vol. 31, num. 4, p. 1145 – 1167. DOI : 10.1002/rnc.5343.Hierarchical Control of Islanded Microgrids with Flexible Structures
Lausanne, EPFL, 2021.On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization
IEEE Transactions on Control of Network Systems. 2021. p. 1 – 1. DOI : 10.1109/TCNS.2021.3106446.A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees
2021. 60th IEEE Conference on Decision and Control (CDC), ELECTR NETWORK, Dec 13-17, 2021. p. 2539 – 2544. DOI : 10.1109/CDC45484.2021.9683647.Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness
2021. 60th IEEE Conference on Decision and Control (CDC), ELECTR NETWORK, Dec 13-17, 2021. p. 5294 – 5299. DOI : 10.1109/CDC45484.2021.9683002.A unified framework for Hamiltonian deep neural networks
2021. Learning for Dynamics and Control, Online, June 7-8, 2021. p. 275 – 286.Bayesian Methods for the Identification of Distribution Networks
2021. 2021 IEEE 60th Annual Conference on Decision and Control (CDC), Austin, Texas, USA, December 13-17, 2021. p. 3646 – 3651. DOI : 10.1109/CDC45484.2021.9683503.2020
Dwell-time based stability analysis and L-2 control of LPV systems with piecewise constant parameters and delay
Systems & Control Letters. 2020. Vol. 145, p. 104805. DOI : 10.1016/j.sysconle.2020.104805.On Existence of Equilibria, Voltage Balancing, and Current Sharing in Consensus-Based DC Microgrids
2020. European Control Conference (ECC 20), Saint Petersburg, Russia, May 12â15, 2020. p. 1216 – 1223. DOI : 10.23919/ECC51009.2020.9143766.A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids
IEEE Transactions on Automatic Control. 2020. Vol. 65, num. 9, p. 3800 – 3815. DOI : 10.1109/TAC.2020.2982577.A Passivity-Based Approach to Voltage Stabilization in DC Microgrids with ZIP loads
Automatica. 2020. Vol. 113, p. 108770. DOI : 10.1016/j.automatica.2019.108770.A scalable, line-independent control design algorithm for voltage and frequency stabilization in AC islanded microgrids
Automatica. 2020. Vol. 111, p. 108577. DOI : 10.1016/j.automatica.2019.108577.Suboptimal Distributed LQR Design for Physically Coupled Systems
2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 11032 – 11037. DOI : 10.1016/j.ifacol.2020.12.227.Hierarchical Control in Islanded DC Microgrids With Flexible Structures
IEEE Transactions on Control Systems Technology. 2020. p. 1 – 14. DOI : 10.1109/TCST.2020.3038495.Consensusability of linear interconnected multi-agent systems
2020. 21st IFAC World Congress on Automatic Control – Meeting Societal Challenges, ELECTR NETWORK, Jul 11-17, 2020. p. 2915 – 2920. DOI : 10.1016/j.ifacol.2020.12.965.2019
Approximate Kron Reduction Methods for Electrical Networks With Applications to Plug-and-Play Control of AC Islanded Microgrids
IEEE Transactions On Control Systems Technology. 2019. Vol. 27, num. 6, p. 2403 – 2416. DOI : 10.1109/TCST.2018.2863645.Enforcing optimal operation in solid-oxide fuel-cell systems
Energy. 2019. Vol. 181, p. 281 – 293. DOI : 10.1016/j.energy.2019.04.188.Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach
Ieee Transactions On Control Of Network Systems. 2019. Vol. 6, num. 2, p. 800 – 811. DOI : 10.1109/TCNS.2018.2878500.Stability Analysis of Primary Plug-and-Play and Secondary Leader-Based Controllers for DC Microgrid Clusters
IEEE Transactions on Power Systems. 2019. Vol. 34, num. 3, p. 1780 – 1800. DOI : 10.1109/TPWRS.2018.2884876.Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties
IEEE Transactions On Automatic Control. 2019. Vol. 64, num. 1, p. 4 – 19. DOI : 10.1109/TAC.2018.2811469.A Supervisory Control Structure for Voltage-Controlled Islanded DC Microgrids
2019. 58th IEEE Conference on Decision and Control, Nice, France, December 11-13, 2019. p. 6566 – 6571. DOI : 10.1109/CDC40024.2019.9029612.Passivity-based Voltage and Frequency Stabilization in AC microgrids
2019. 18th European Control Conference (ECC), Naples, Italy, June 25-28, 2019. p. 1890 – 1895. DOI : 10.23919/ECC.2019.8796119.2018
Stable current sharing and voltage balancing in DC microgrids: A consensus-based secondary control layer
AUTOMATICA. 2018. Vol. 95, p. 1 – 13. DOI : 10.1016/j.automatica.2018.04.017.Stabilizing plug-and-play regulators and secondary coordinated control for AC islanded microgrids with bus-connected topology
Applied Energy. 2018. Vol. 210, p. 914 – 924. DOI : 10.1016/j.apenergy.2017.08.110.Line-Independent Plug-and-Play Controllers for Voltage Stabilization in DC Microgrids
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. 2018. Vol. 26, num. 3, p. 1115 – 1123. DOI : 10.1109/TCST.2017.2695167.Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids
2018. European Control Conference (ECC), Limassol, CYPRUS, Jun 12-15, 2018. p. 351 – 356. DOI : 10.23919/ECC.2018.8550549.Voltage Stabilization in MVDC Microgrids Using Passivity-Based Nonlinear Control
2018. 57th IEEE Conference on Decision and Control (CDC), Miami Beach, FL, Dec 17-19, 2018. p. 7022 – 7027. DOI : 10.1109/CDC.2018.8618882.Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids
2018. European Control Conference 2018, Limassol, Cyprus, p. 344 – 349. DOI : 10.23919/ECC.2018.8550549.A Passivity-Based Approach to Voltage Stabilization in DC Microgrids
2018. Annual American Control Conference (ACC 2018), Milwaukee, WI, USA, June 27-29, 2018. p. 5374 – 5379. DOI : 10.23919/ACC.2018.8431522.2017
Containment and Consensus-based Distributed Coordination Control for Voltage Bound and Reactive Power Sharing in AC Microgrid
2017. 32nd IEEE Annual Applied Power Electronics Conference and Exposition (APEC), Tampa, FL, MAY 26-30, 2017. p. 3549 – 3556. DOI : 10.1109/APEC.2017.7931207.Plug-and-play design of current controllers for grid-feeding converters in DC microgrids
2017. 11th Asian Control Conference (ASCC 2017), Gold Coast, QLD, Australia, December 17-20, 2017. p. 2182 – 2187. DOI : 10.1109/ASCC.2017.8287513.Model predictive controllers for Reduction of Mechanical Fatigue in Wind Farms
IEEE Transactions on Control Systems Technology. 2017. Vol. 25, num. 2, p. 535 – 549. DOI : 10.1109/TCST.2016.2572170.Review on Control of DC Microgrids
IEEE Journal of Emerging and Selected Topics in Power Electronics. 2017. p. 1 – 1. DOI : 10.1109/JESTPE.2017.2690219.A distributed attack detection method for multi-agent systems governed by consensus-based control
2017. 56th Annual Conference on Decision and Control (CDC 2017), Melbourne, Australia, December 12-15, 2017. p. 5961 – 5966. DOI : 10.1109/CDC.2017.8264562.Decentralized and distributed robust control invariance for constrained linear systems
2017. 56th Annual Conference on Decision and Control (CDC 2017), Melbourne, Australia, December 12-15, 2017. p. 5978 – 5984. DOI : 10.1109/CDC.2017.8264564.2016
Validation methods for population models of gene expression dynamics
2016
A decentralized scalable approach to voltage control of DC islanded microgrids
IEEE Transactions on Control Systems Technology. 2016. Vol. 24, num. 6, p. 1965 – 1979. DOI : 10.1109/TCST.2016.2525001.Plug-and-Play fault detection and control reconfiguration for a class of nonlinear large-scale constrained systems
IEEE Transactions on Automatic Control. 2016. Vol. 61, num. 12, p. 3963 – 3978. DOI : 10.1109/TAC.2016.2535724.Validation methods for population models of gene expression dynamics
2016. 6th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Magdeburg, October 9-12, 2016. p. 114 – 119. DOI : 10.1016/j.ifacol.2016.12.112.Consensus algorithms and plug-and-play control for current sharing in DC microgrids
2016
Plug-and-play control of AC islanded microgrids with general topology
2016. 2016 European Control Conference (ECC), Aalborg, June 29 – July 1, 2016. p. 1493 – 1500. DOI : 10.1109/ECC.2016.7810501.Voltage stabilization in DC microgrids: an approach based on line-independent plug-and-play controllers
2016
What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast
PLoS Computational Biology. 2016. Vol. 12, num. 2, p. e1004706. DOI : 10.1371/journal.pcbi.1004706.Scalable Monitoring of Interconnected Stochastic Systems
2016. 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, USA, December 12-14, 2016. p. 1285 – 1290. DOI : 10.1109/CDC.2016.7798443.Voltage stabilization in DC microgrids through coupling-independent plug-and-play controllers
2016. p. 4944 – 4949. DOI : 10.1109/CDC.2016.7799025.2015
Distributed bounded-error state estimation based on practical robust positive invariance
International Journal of Control. 2015. Vol. 88, num. 11, p. 2277 – 2290. DOI : 10.1080/00207179.2015.1040844.Deterministic and stochastic MPC algorithms for minimizing mechanical stresses in wind farms
2015. p. 1340 – 1345. DOI : 10.1109/CDC.2015.7402397.Plug-and-Play distributed model predictive control with coupling attenuation
Optim. Control Appl. Meth.. 2015. Vol. 36, num. 3, p. 292 – 305. DOI : 10.1002/oca.2142.Plug-and-play state estimation and application to distributed output-feedback model predictive control
European Journal of Control. 2015. Vol. 25, p. 17 – 26. DOI : 10.1016/j.ejcon.2015.04.001.A Plug-and-Play fault diagnosis approach for large-scale systems
2015. 9th IFAC Symposium on Fault Detection, Supervision andSafety for Technical Processes SAFEPROCESS 2015, Paris, France, September 2-4, 2015, 2â4 September 2015. p. 601 – 606. DOI : 10.1016/j.ifacol.2015.09.592.Kron reduction methods for plug-and-play control of AC islanded microgrids with arbitrary topology
2015
Voltage control of DC islanded microgrids: a decentralized scalable approach
2015. p. 3149 – 3154. DOI : 10.1109/CDC.2015.7402691.Plug-and-Play Voltage and Frequency Control of Islanded Microgrids With Meshed Topology
IEEE Transactions on Smart Grid. 2015. Vol. 6, num. 3, p. 1176 – 1184. DOI : 10.1109/TSG.2014.2381093.Stochastic fault detection in a plug-and-play scenario
2015. p. 3137 – 3142. DOI : 10.1109/CDC.2015.7402689.2014
Plug-and-Play Model Predictive Control based on robust control invariant sets
Automatica. 2014. Vol. 50, p. 2179 – 2186. DOI : 10.1016/j.automatica.2014.06.004.Model predictive controllers for reduction of mechanical fatigue in wind farms
2014
Plug-and-play voltage and frequency control of islanded microgrids with meshed topology
2014
A decentralized scalable approach to voltage control of DC islanded microgrids
2014
Plug-and-play decentralized frequency regulation for power networks with FACTS devices
2014. 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm), Venice, Italy, November 3-6. p. 79 – 84. DOI : 10.1109/SmartGridComm.2014.7007626.Voltage and frequency control of islanded microgrids: a plug-and-play approach
2014. p. 73 – 78. DOI : 10.1109/SmartGridComm.2014.7007625.Fault Diagnosis and Control-reconfiguration in Large-scale Systems: a Plug-and-Play Approach
2014. p. 4977 – 4982. DOI : 10.1109/CDC.2014.7040166.Plug-and-play fault diagnosis and control-reconfiguration for a class of nonlinear large-scale constrained systems
2014
2013
A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems
Systems and Control Letters. 2013. Vol. 62, num. 5, p. 413 – 419. DOI : 10.1016/j.sysconle.2013.02.007.Design of plug-and-play model predictive control: an approach based on linear programming
2013. p. 6530 – 6535. DOI : 10.1109/CDC.2013.6760922.Plug-and-Play Decentralized Model Predictive Control for Linear Systems
IEEE Transactions on Automatic Control. 2013. Vol. 58, num. 10, p. 2608 – 2614. DOI : 10.1109/TAC.2013.2254641.Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance
2013
Plug and Play Distributed Model Predictive Control Based on Distributed Invariance and Optimization
2013. 52nd IEEE Conference on Decision and Control, Firenze, Italy, December, 2013. p. 5770 – 5776. DOI : 10.1109/CDC.2013.6760799.Identification of biological models from single-cell data: a comparison between mixed-effects and moment-based inference
2013. Zurich, CH, July 17-19. p. 3652 – 3657. DOI : 10.23919/ECC.2013.6669366.Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance
2013. p. 2633 – 2638. DOI : 10.23919/ECC.2013.6669300.Plug-and-play distributed state estimation for linear systems
2013. p. 4889 – 4894. DOI : 10.1109/CDC.2013.6760656.Plug-and-play distributed state estimation for linear systems
2013
Identification of biological models from single-cell data: a comparison between mixed-effects and moment-based inference
2013
2012
Plug-and-Play Model Predictive Control based on robust control invariant sets
2012
PnPMPC: a toolbox for MatLab
2012
Plug-and-Play Decentralized Model Predictive Control
2012
Editorial of the Special Issue on System Identification for Biological Systems
International Journal of Robust and Nonlinear Control. 2012. Vol. 22, num. 10, p. 1063 – 1064. DOI : 10.1002/rnc.2841.Hycon2 Benchmark: Power Network System
2012
Tube-based distributed control of linear constrained systems
Automatica. 2012. Vol. 48, num. 11, p. 2860 – 2865. DOI : 10.1016/j.automatica.2012.08.024.Tube-based distributed control of linear constrained systems
2012
Invalidation of the structure of genetic network dynamics: a geometric approach
International Journal of Robust and Nonlinear Control. 2012. Vol. 22, num. 10, p. 1140 – 1156. DOI : 10.1002/rnc.2799.Distributed moving horizon estimation for nonlinear constrained systems
International Journal of Robust and Nonlinear Control. 2012. Vol. 22, num. 2, p. 123 – 143. DOI : 10.1002/rnc.1676.Plug-and-Play Decentralized Model Predictive Control
2012. p. 4193 – 4198. DOI : 10.1109/CDC.2012.6426730.2011
Learning the structure of genetic network dynamics : A geometric approach
2011. 18th IFAC World Congress, Milan, Italy, Aug. 28 – Sept. 2, 2011. p. 11654 – 11659. DOI : 10.3182/20110828-6-IT-1002.01578.Moving horizon estimation for distributed nonlinear systems with application to cascade river reaches
Journal of Process Control. 2011. Vol. 21, num. 5, p. 767 – 774. DOI : 10.1016/j.jprocont.2010.10.022.2010
Structural Identification of Unate-Like Genetic Network Models from Time-Lapse Protein Concentration Measurements
2010. p. 2529 – 2534. DOI : 10.1109/CDC.2010.5717922.Moving horizon partition-based state estimation of large-scale systems
Automatica. 2010. Vol. 46, num. 5, p. 910 – 918. DOI : 10.1016/j.automatica.2010.02.010.Call for Papers: Special Issue on System Identification for Biological Systems
International Journal of Robust and Nonlinear Control. 2010. Vol. 20, num. 7, p. 842. DOI : 10.1002/rnc.1576.Distributed Moving Horizon Estimation for Linear Constrained Systems
IEEE Transactions on Automatic Control. 2010. Vol. 55, num. 11, p. 2462 – 2475. DOI : 10.1109/TAC.2010.2046058.Partitioning datasets based on equalities among parameters
Automatica. 2010. Vol. 46, num. 2, p. 460 – 465. DOI : 10.1016/j.automatica.2009.12.006.State estimation for large-scale partitioned systems: a moving horizon approach
2010. p. 3180 – 3185. DOI : 10.1109/ACC.2010.5530968.Distributed moving horizon estimation for nonlinear constrained systems
2010. 8th IFAC Symposium on Nonlinear Control Systems, Bologna, Italy, September 1 – 3. p. 909 – 914. DOI : 10.3182/20100901-3-IT-2016.00103.Distributed moving horizon estimation for nonlinear constrained systems
2010
Identification of genetic network dynamics with unate structure
Bioinformatics. 2010. Vol. 26, num. 9, p. 1239 – 1245. DOI : 10.1093/bioinformatics/btq120.2009
Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming
2009
A moving horizon scheme for distributed state estimation
2009
A moving horizon scheme for distributed state estimation
2009. p. 1818 – 1823. DOI : 10.1109/CDC.2009.5400244.A hybrid model predictive control scheme for multi-agent containment and distributed sensing
2009. p. 7006 – 7011. DOI : 10.1109/CDC.2009.5400450.Partitioning Datasets Based on Equalities Among Parameters
2009
Chapter 4: Switched and piecewise affine systems
Handbook of Hybrid Systems Control: Theory, Tools, and Applications; Cambridge University Press, 2009. p. 89 – 134.Moving horizon state estimation of large-scale constrained partitioned systems
2009
Identification of parameters and structure of piecewise affine models of genetic networks
2009. 15th IFAC Symposium on System Identification (SYSID09), Saint Malo, France, 6-8 July, 2009. p. 587 – 592. DOI : 10.3182/20090706-3-FR-2004.00097.Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics
IEEE Transactions on Automatic Control. 2009. Vol. 54, num. 11, p. 2560 – 2572. DOI : 10.1109/TAC.2009.2031208.Distributed moving horizon estimation for sensor networks
2009. 1st IFAC Workshop on Estimation and Control of Networked Systems (NECSYS), Venice, Italy, 24-26 September, 2009. p. 126 – 131. DOI : 10.3182/20090924-3-IT-4005.00022.Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming
2009. p. 5618 – 5623. DOI : 10.1109/CDC.2009.5400670.Chapter 10: Tools for modeling, simulation, control, and verification of piecewise affine systems
Handbook of Hybrid Systems Control: Theory, Tools, and Applications; Cambridge University Press, 2009. p. 299 – 324.2008
Containment Control in Mobile Networks
IEEE Transactions on Automatic Control. 2008. Vol. 53, num. 8, p. 1972 – 1975. DOI : 10.1109/TAC.2008.930098.The switching threshold reconstruction problem for piecewise-affine models of genetic regulatory networks
IEEE Transactions on Circuits and systems I: Regular papers and IEEE Transactions on Automatic Control. 2008. Vol. 53, num. Special issue on systems biology, p. 153 – 165. DOI : 10.1109/TAC.2007.911326.Contractive distributed MPC for consensus in networks of single- and double-integrators
2008. 17th IFAC World Congress on Automatic Control, Seoul, Korea, 6-11 July, 2008. p. 9033 – 9038. DOI : 10.3182/20080706-5-KR-1001.01525.Average consensus problems in networks of agents with delayed communications
Automatica. 2008. Vol. 44, num. 8, p. 1985 – 1995. DOI : 10.1016/j.automatica.2007.12.010.Structural Identification of Piecewise-Linear Models of Genetic Regulatory Networks
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2008. 17th IFAC World Congress on Automatic Control, Seoul, Korea, 6-11 July, 2008. p. 307 – 312. DOI : 10.3182/20080706-5-KR-1001.00052.Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification
IEEE Transactions on Circuits and systems I: Regular papers and IEEE Transactions on Automatic Control. 2008. Vol. 53, num. Special issue on systems biology, p. 38 – 50. DOI : 10.1109/TAC.2007.911327.2007
Parameter identification for stochastic hybrid models of biological interaction networks
2007. p. 5180 – 5185. DOI : 10.1109/CDC.2007.4434647.Hybrid identification methods for the reconstruction of genetic regulatory networks
2007. p. 4845 – 4852.Model Predictive Control Schemes for Consensus in multi-Agent Systems with Integrator Dynamics and Time-Varying Communication
2007.A Model Predictive Control Scheme for Consensus in multi-agent Systems with Single-Integrator Dynamics and Input Constraints
2007. p. 1492 – 1497. DOI : 10.1109/CDC.2007.4434323.An Identification Procedure for Piecewise-Affine Models of Genetic Regulatory Networks
2007.A general framework for the identification of jump Markov linear systems
2007
Switch Detection in Genetic Regulatory Networks
2007. 10th International Workshop, HSCC 2007, Pisa, Italy, April 3-5, 2007. p. 754 – 757. DOI : 10.1007/978-3-540-71493-4_77.Sliding mode control for coordination in multi-agent systems with directed communication graphs
2007. p. 1477 – 1484.Metodi di identificazione per modelli affini a tratti di reti genetiche
Convegno SIDRA, Genova, Italy. 2007.Identification of PieceWise Affine Models of Genetic Regulatory Networks: the Data Classification Problem
2007
Control schemes based on the wave equation for consensus in multi-agent systems with double-integrator dynamics
2007. p. 1498 – 1503. DOI : 10.1109/CDC.2007.4434358.A general framework for the identification of jump Markov linear systems
2007. p. 5737 – 5742. DOI : 10.1109/CDC.2007.4434378.Identification of hybrid systems: a tutorial
European Journal of Control. 2007. Vol. 513, num. 2-3, p. 242 – 260. DOI : 10.3166/ejc.13.242-260.2006
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Hybrid systems: computation and control; Berlin: Springer, 2006. p. 212 – 226.Observability analysis and state observers for automotive powertrains with backlash: a hybrid system approach
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2006
Reconstruction of Switching Thresholds in Piecewise-Affine Models of Genetic Regulatory Networks.
Hybrid Systems: Computation and Control. HSCC 2006; Springer-Verlag, 2006. p. 184 – 199.Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification
2006
Reconstruction of Switching Thresholds in Piecewise-Affine Models of Genetic Regulatory Networks
2006
Consistent Sobolev Regression via Fuzzy Systems with Overlapping Concepts
Fuzzy Sets and Systems. 2006. Vol. 157, num. 8, p. 1075 – 1091. DOI : 10.1016/j.fss.2005.08.008.Nonlinear Filtering for Switch Detection in Hybrid Models of Genetic Regulatory Networks
Convegno CIRA, Milano, Italy. 2006.Analysis of Coordination in multi-Agent Systems Through Partial Difference Equations
IEEE Transactions on Automatic Control. 2006. Vol. 51, num. 6, p. 1058 – 1063. DOI : 10.1109/TAC.2006.876805.Hierarchical Containment Control in Heterogeneous Mobile Networks
2006. 17th International Symposium on MathematicalTheory of Networks and Systems, Kyoto, Japan, July 24-28, 2006. p. 2227 – 2231.2005
Analysis of coordination in multi-agent systems through Partial difference Equations. Part I: The Laplacian control
2005. 16th IFAC World Congress on Automatic Control, Prague, Czech Republic, 3-8 July, 2005. p. 203 – 208. DOI : 10.3182/20050703-6-CZ-1902.02086.Computation of Observability Regions for Piecewise Affine Systems: A Projection-Based Algorithm
2005. p. 6922 – 6927. DOI : 10.1109/CDC.2005.1583276.Average consensus problems in networks of agents with delayed communications
2005
Comparison of four procedures for the identification of hybrid systems
2005. 8th International Workshop, HSCC 2005, Zurich, Switzerland, March 9-11, 2005. p. 354 – 369. DOI : 10.1007/978-3-540-31954-2_23.Average consensus problems in networks of agents with delayed communications
2005. p. 7066 – 7071. DOI : 10.1109/CDC.2005.1583300.Analysis of coordination in multi-agent systems through Partial difference Equations. Part II: Nonlinear control
2005. 16th IFAC World Congress on Automatic Control, Prague, Czech Republic, 3-8 July, 2005. p. 209 – 214. DOI : 10.3182/20050703-6-CZ-1902.02087.Optimal Control for Real-Time Feedback Rate-Monotonic Schedulers
2005. ISCIS 2005 20th International Symposium, Istanbul, Turkey, October 26-28, 2005. p. 894 – 903. DOI : 10.1007/11569596_91.2004
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Control Engineering Practice. 2004. Vol. 12, num. 10, p. 1241 – 1252. DOI : 10.1016/j.conengprac.2004.04.004.Modeling and Control of Co-generation Power Plants: A Hybrid System Approach
IEEE Transactions on Control Systems Technology. 2004. Vol. 12, num. 5, p. 694 – 705. DOI : 10.1109/TCST.2004.826958.Stability Properties of Adaptive Real-Time Feedback Scheduling: A Statistical Approach
2004.Analysis of Coordination in multiple Agents Formations through Partial Difference Equations
2004
Comparison of three procedures for the identification of hybrid systems
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2003. 6th International Workshop, HSCC 2003 Prague, Czech Republic, April 3â5, 2003. p. 188 – 202. DOI : 10.1007/3-540-36580-X_16.Anwendung von modellbasierter prĂ€diktiver Regelung und Methoden der hybriden Systeme zur optimalen Produktionsplanung (Using Model Predictive Control and Hybrid Systems for Optimal Scheduling of Industrial Processes)
Automatisierungstechnik. 2003. Vol. 51, num. 6, p. 285 – 293. DOI : 10.1524/auto.51.6.285.22445.Lagrange Stability and Performance Analysis of Discrete-Time Piecewise Affine Systems with Logic States
International Journal of Control. 2003. Vol. 76, num. 16, p. 1585 – 1598. DOI : 10.1080/00207170310001619877.Single-linkage clustering for optimal classification in piecewise affine regression
2003. IFAC Conference on the Analysis and Design of Hybrid Systems (ADHSÂ 03), St. Malo, France, 16-18 June 2003. p. 33 – 38. DOI : 10.1016/S1474-6670(17)36403-0.Identification of an Experimental Hybrid System
2003. IFAC Conference on the Analysis and Design of Hybrid Systems (ADHSÂ 03), St. Malo, France, 16-18 June 2003. p. 39 – 44. DOI : 10.1016/S1474-6670(17)36404-2.Computation Observability Regions for Discrete-time Hybrid Systems
2003. p. 1153 – 1158. DOI : 10.1109/CDC.2003.1272763.A clustering technique for the identification of piecewise affine and hybrid systems
Automatica. 2003. Vol. 39, p. 205 – 217. DOI : 10.1016/S0005-1098(02)00224-8.Regularization Networks for Inverse Problems: A state-space approach
Automatica. 2003. Vol. 39, p. 669 – 676. DOI : 10.1016/S0005-1098(02)00280-7.Stability analysis of discrete-time switched systems through Lyapunov functions with nonminimal state
2003. IFAC Conference on the Analysis and Design of Hybrid Systems (ADHSÂ 03), St. Malo, France, 16-18 June 2003. p. 325 – 329. DOI : 10.1016/S1474-6670(17)36452-2.2002
Analysis of Discrete-Time PWA Systems with Logic States
2002. 5th International Workshop, HSCC 2002, Stanford, CA, USA, March 25â27, 2002. p. 194 – 208. DOI : 10.1007/3-540-45873-5_17.Modelling and Control of Co-generation Power Plants under Consideration of Lifetime Consumption: A Hybrid System Approach
2002. 15th IFAC World Congress on Automatic Control, Barcelona, Spain, 21-26 July, 2002. p. 275 – 280. DOI : 10.3182/20020721-6-ES-1901.01197.Moving Horizon Estimation for Hybrid Systems
IEEE Transactions on Automatic Control. 2002. Vol. 47, num. 10, p. 1663 – 1676. DOI : 10.1109/TAC.2002.802772.A New Learning Method for Piecewise Linear Regression
2002. Artificial Neural Networks â ICANN 2002 International Conference, Madrid, Spain, August 28â30, 2002. p. 444 – 449. DOI : 10.1007/3-540-46084-5_72.Modeling and Control of Co-generation Power Plants: A Hybrid System Approach
2002
Modeling and Control of Co-generation Power Plants: A Hybrid System Approach
2002. Hybrid Systems: Computation and Control – 5th International Workshop, HSCC 2002, Stanford, CA, USA, March 25â27, 2002. p. 209 – 224. DOI : 10.1007/3-540-45873-5_18.Fuzzy Systems with Overlapping Gaussian Concepts: Approximation Properties in Sobolev Norms
Fuzzy Sets and Systems. 2002. Vol. 130, num. 2, p. 137 – 145. DOI : 10.1016/S0165-0114(01)00083-5.Analysis of Discrete-Time Piecewise Affine and Hybrid Systems
Automatica. 2002. Vol. 38, p. 2139 – 2146. DOI : 10.1016/S0005-1098(02)00142-5.Representing logic and dynamics: the role of piecewise affine models in the biomedical field
2002. 5th European Conference of the European Society of Mathematical and Theoretical Biology, Milan, Italy, 2-6 July 2002.2001
Computing the equivalent number of parameters of fixed-interval smoothers
2001
Identification of Piecewise Affine and Hybrid Systems
2001. 2001 American Control Conference, Arlington (VA), USA, p. 3521 – 3526. DOI : 10.1109/ACC.2001.946178.Regularization networks: fast weight calculation via Kalman filtering
IEEE Transactions on Neural Networks. 2001. Vol. 12, num. 2, p. 228 – 235. DOI : 10.1109/72.914520.Analysis and Control with Performance of Piecewise Affine and Hybrid Systems
2001. 2001 American Control Conference, Arlington, Virginia, USA, 25-27 June.. p. 200 – 205. DOI : 10.1109/ACC.2001.945542.Analysis of Discrete-Time Piecewise Affine and Hybrid Systems
2001
Optimization with Piecewise Affine Cost Functions
2001
Identificazione lineare a tratti di sistemi ibridi dinamico-logici
2001.Analysis of Discrete-Time PWA Systems with Boolean Inputs, Outputs and States
2001
Fuzzy Systems with Overlapping Gaussian Concepts: Approximation Properties in Sobolev Norms
2001
Computing the equivalent number of parameters of fixed-interval smoothers
2001. p. 2905 – 2910. DOI : 10.1109/.2001.980717.A clustering technique for the identification of Piecewise Affine Systems
Proc. 4th International Workshop on Hybrid Systems: Computation and Control; Springer-Verlag, 2001. p. 218 – 231.Reconfiguration strategies for hybrid systems
2001. 2001 American Control Conference, Arlington, Virginia, USA, 25-27 June. p. 868 – 873. DOI : 10.1109/ACC.2001.945826.NARX Models: Optimal Parametric Approximation of Nonparametric Estimators
2001. 2001 American Control Conference, Arlington, Virginia, USA, 25-27 June. p. 4868 – 4873. DOI : 10.1109/ACC.2001.945754.A Learning Algorithm for Piecewise Linear Regression
2001. 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17â19 May 2001. p. 114 – 119. DOI : 10.1007/978-1-4471-0219-9_9.2000
Stability and Stabilization of Piecewise Affine and Hybrid Systems: An LMI Approach
2000
Moving Horizon Estimation for Hybrid Systems
2000. 2000 American Control Conference, Chicago, Illinois, USA, 28-30 June. p. 1684 – 1688. DOI : 10.1109/ACC.2000.879488.Regularization networks: Fast weight calculation via Kalman filtering
2000
Stability and Stabilization of Piecewise Affine and Hybrid Systems: An LMI Approach
2000. DOI : 10.1109/CDC.2000.912814.A Kalman filtering algorithm for regularization networks
2000. 2000 American Control Conference, Chicago, Illinois, USA, 28-30 June. p. 2220 – 2224. DOI : 10.1109/ACC.2000.878574.Regularization Networks for Inverse Problems: A state-space approach
2000
Fast spline smoothing via spectral factorization concepts
Automatica. 2000. Vol. 36, num. 11, p. 1733 – 1739. DOI : 10.1016/S0005-1098(00)00100-X.Observability and Controllability of Piecewise Affine and Hybrid Systems
IEEE Transactions on Automatic Control. 2000. Vol. 45, num. 10, p. 1864 – 1876. DOI : 10.1109/TAC.2000.880987.NARX Models: Optimal Parametric Approximation of Nonparametric Estimators
2000
Mixed Logic Dynamical Model of a Hydroelectric Power Plant
2000.Consistent Sobolev Regression via Fuzzy Systems with Overlapping Concepts
2000
Analysis and Control with Performance of Piecewise Affine and Hybrid Systems
2000
A clustering technique for the identification of piecewise affine and hybrid systems
2000
Moving Horizon Estimation for Piecewise Affine Systems
2000. AIChE annual meeting – “Exchanging Ideas for Innovation”, Los Angeles, California, US, 12-17 November 2000.Hybrid Modeling and Control of a Hydroelectric Power Plant
2000
Fuzzy Systems with Overlapping Gaussian Concepts and Replicating Kernel Hilbert Spaces
Advances in Fuzzy Systems and Intelligent Technologies – Proceedings of the WILF’99 Italian Workshop on Fuzzy Logic 1999; Shaker Publishing, Maastricht, NL, 2000. p. 37 – 48.Reti neurali regolarizzate
Matematica e Neuroscienze: Metodi, Modelli e Simulazione (Neuromat), Milano, Italy. 2000.Reconfiguration strategies for hybrid systems
2000
1999
Oltre i minimi quadrati: le reti neurali regolarizzate
Convegno CIRA, Como, Italy. 1999.Observability and controllability of piecewise affine and hybrid systems
1999. p. 3966 – 3971. DOI : 10.1109/CDC.1999.827980.Sobolev Approximation by means of Fuzzy Systems with Overlapping Gaussian Concepts
1999. FUZZ-IEEE International Conference on Fuzzy Systems, Seoul, Korea, p. 1024 – 1029. DOI : 10.1109/FUZZY.1999.793093.On the Wold decomposition of discrete-time cyclostationary processes
IEEE Transactions on Signal Processing. 1999. Vol. 47, num. 7, p. 2041 – 2043. DOI : 10.1109/78.771051.Finite-dimensional approximation of Gaussian processes
Advances in Neural Information Processing Systems; MIT Press, 1999. p. 218 – 224.Moving Horizon Estimation for Hybrid Systems
1999