Sébastien Gros

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 47

Top Topics

Markov Decision Process

Reinforcement Learning

Autonomous Underwater Vehicles

Partially Observable

Top Venues

Publications

Bjørn Andreas Kristiansen, Jan Tommy Gravdahl, Sébastien Gros, Tor Arne Johansen
Energy Optimal Attitude Control and Task Execution for a Solar-Powered Spacecraft. IEEE Trans. Control. Syst. Technol. 32 (4) (2024)
Wenqi Cai, Arash Bahari Kordabad, Sébastien Gros
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value. Eng. Appl. Artif. Intell. 119 (2023)
Dirk Reinhardt, Sébastien Gros
Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection. CDC (2023)
Katrine Seel, Sébastien Gros, Jan Tommy Gravdahl
Combining Q-learning and Deterministic Policy Gradient for Learning-Based MPC. CDC (2023)
Wenqi Cai, Shambhuraj Sawant, Dirk Reinhardt, Soroush Rastegarpour, Sébastien Gros
A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems. IEEE Access 11 (2023)
Katrine Seel, Alberto Bemporad, Sébastien Gros, Jan Tommy Gravdahl
Variance-Based Exploration for Learning Model Predictive Control. IEEE Access 11 (2023)
Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár
Integrated Charging Scheduling and Operational Control for an Electric Bus Network. CoRR (2023)
Rémi Lacombe, Sébastien Gros, Nikolce Murgovski, Balázs Kulcsár
Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros
Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. IEEE Trans. Control. Syst. Technol. 30 (3) (2022)
Rémi Lacombe, Sébastien Gros, Nikolce Murgovski, Balázs Kulcsár
Bilevel Optimization for Bunching Mitigation and Eco-Driving of Electric Bus Lines. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár
Conflict-free Charging and Real-time Control for an Electric Bus Network. CoRR (2022)
Sangjun Bae, Inmo Jang, Sébastien Gros, Balázs Kulcsár, Jonas Hellgren
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Robert Hult, Mario Zanon, Sébastien Gros, Paolo Falcone
A Semidistributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections. IEEE Trans. Control. Syst. Technol. 30 (5) (2022)
Mario Zanon, Sébastien Gros
A new dissipativity condition for asymptotic stability of discounted economic MPC. Autom. 141 (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros
Quasi-Newton Iteration in Deterministic Policy Gradient. ACC (2022)
Kai Wang, Sébastien Gros
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming. CDC (2022)
Sangjun Bae, Sébastien Gros, Balázs Kulcsár
Can AI Abuse Personal Information in an EV Fast-Charging Market? IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Mario Zanon, Sébastien Gros, Michele Palladino
Stability-constrained Markov Decision Processes using MPC. Autom. 143 (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. CoRR (2021)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. ACC (2021)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC (2021)
Johannes P. Maree, Sébastien Gros, Venkatachalam Lakshmanan
Low-complexity Risk-averse MPC for EMS. SmartGridComm (2021)
Mario Zanon, Sébastien Gros
A New Dissipativity Condition for Asymptotic Stability of Discounted Economic MPC. CoRR (2021)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Approximate Robust NMPC using Reinforcement Learning. ECC (2021)
Sébastien Gros, Mario Zanon
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method. ACC (2021)
Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CDC (2021)
Johannes P. Maree, Sébastien Gros, Harald T. Walnum
Adaptive control and identification for heating demand-response in buildings. ECC (2021)
Hossein Nejatbakhsh Esfahani, Behdad Aminian, Esten Ingar Grøtli, Sébastien Gros
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles. ICAR (2021)
Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. CDC (2021)
Sébastien Gros, Mario Zanon
A Dissipativity Theory for Undiscounted Markov Decision Processes. CoRR (2021)
Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. CoRR (2021)
Mario Zanon, Sébastien Gros
On the Similarity Between Two Popular Tube MPC Formulations. ECC (2021)
Sébastien Gros, Mario Zanon
Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies. ACC (2021)
Kai Wang, Sébastien Gros
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints. CDC (2021)
Mario Zanon, Sébastien Gros, Michele Palladino
Stability-Constrained Markov Decision Processes Using MPC. CoRR (2021)
Andreas B. Martinsen, Glenn Bitar, Anastasios M. Lekkas, Sébastien Gros
Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments. IEEE Access 8 (2020)
Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros, Jon Arne Glomsrud, Tom Arne Pedersen
Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions. Frontiers Robotics AI 7 (2020)
Sébastien Gros, Mario Zanon
Safe Reinforcement Learning with Stability & Safety Guarantees Using Robust MPC. CoRR (2020)
Mario Zanon, Vyacheslav Kungurtsev, Sébastien Gros
Reinforcement Learning Based on Real-Time Iteration NMPC. CoRR (2020)
Sébastien Gros, Mario Zanon, Rien Quirynen, Alberto Bemporad, Moritz Diehl
From linear to nonlinear MPC: bridging the gap via the real-time iteration. Int. J. Control 93 (1) (2020)
Sébastien Gros, Mario Zanon
Data-Driven Economic NMPC Using Reinforcement Learning. IEEE Trans. Autom. Control. 65 (2) (2020)
Robert Hult, Mario Zanon, Sébastien Gros, Paolo Falcone
Optimal Coordination of Automated Vehicles at Intersections with Turns. ECC (2019)
Mario Zanon, Sébastien Gros
Safe Reinforcement Learning Using Robust MPC. CoRR (2019)
Sébastien Gros, Mario Zanon
Data-driven Economic NMPC using Reinforcement Learning. CoRR (2019)
Mario Zanon, Sébastien Gros, Alberto Bemporad
Practical Reinforcement Learning of Stabilizing Economic MPC. ECC (2019)
Mario Zanon, Sébastien Gros, Alberto Bemporad
Practical Reinforcement Learning of Stabilizing Economic MPC. CoRR (2019)
Giuseppe Giordano, Sébastien Gros, Jonas Sjöberg
An improved method for Wiener-Hammerstein system identification based on the Fractional Approach. Autom. 94 (2018)
Sébastien Gros, Balasubramaniam Srinivasan, Dominique Bonvin
Optimizing control based on output feedback. Comput. Chem. Eng. 33 (1) (2009)
Sébastien Gros, Benoît Chachuat, Dominique Bonvin
Neighbouring-extremal control for singular dynamic optimisation problems. Part II: multiple-input systems. Int. J. Control 82 (7) (2009)
Sébastien Gros, Balasubramaniam Srinivasan, Benoît Chachuat, Dominique Bonvin
Neighbouring-extremal control for singular dynamic optimisation problems. Part I: single-input systems. Int. J. Control 82 (6) (2009)