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ORCIDSebastien Gros
Sébastien Gros
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2020 – today
- 2025
[j47]Xun Shen, Ye Wang, Kazumune Hashimoto, Yuhu Wu, Sebastien Gros:
Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties. Autom. 176: 112237 (2025)- [j46]Heine Havneraas Røstum, Sebastien Gros, Ketil Aas-Jakobsen
, Joseph Morlier:
Automatic selection of inducing points in sparse Gaussian process for approximations of finite element analyses. Eng. Appl. Artif. Intell. 151: 110629 (2025) - [j45]Esmaeel Mohammadi, Daniel Ortiz Arroyo, Aviaja Anna Hansen, Mikkel Stokholm-Bjerregaard, Sébastien Gros, Akhil S. Anand, Petar Durdevic:
Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration. Expert Syst. Appl. 277: 127180 (2025) - [j44]Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sébastien Gros, Roy S. Smith:
Once Upon a Time Step: A Closed-Loop Approach to Robust MPC Design. IEEE Trans. Autom. Control. 70(2): 1297-1303 (2025) - [j43]Kai Wang, Sixing Zhang, Sébastien Gros, Sasa V. Rakovic:
Tube MPC With Time-Varying Cross-Sections. IEEE Trans. Autom. Control. 70(3): 1851-1858 (2025) - [i52]Akhil S. Anand, Shambhuraj Sawant, Dirk Reinhardt, Sebastien Gros:
All AI Models are Wrong, but Some are Optimal. CoRR abs/2501.06086 (2025) - [i51]Dirk Reinhardt, Katrin Baumgärnter, Jonathan Frey, Moritz Diehl, Sebastien Gros:
MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control. CoRR abs/2501.15897 (2025) - [i50]Azita Dabiri, Giray Önür, Sebastien Gros, Bart De Schutter:
Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections. CoRR abs/2502.01315 (2025) - [i49]Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shamburaj Sawant, Joschka Boedecker, Moritz Diehl, Sebastien Gros:
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification. CoRR abs/2502.02133 (2025) - [i48]Arash Bahari Kordabad, Eleftherios E. Vlahakis, Lars Lindemann, Sebastien Gros, Dimos V. Dimarogonas, Sadegh Soudjani:
Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints. CoRR abs/2503.09816 (2025) - 2024
- [j42]Saket Adhau, Sébastien Gros, Sigurd Skogestad:
Reinforcement learning based MPC with neural dynamical models. Eur. J. Control 80: 101048 (2024) - [j41]Arash Bahari Kordabad, Mario Zanon, Sebastien Gros:
Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control. IEEE Trans. Autom. Control. 69(2): 1149-1156 (2024) - [j40]Karim Davari Benam, Sebastien Gros, Anders Lyngvi Fougner:
Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas. IEEE Trans. Biomed. Eng. 71(1): 343-354 (2024) - [j39]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): 1212-1225 (2024) - [c74]Trym Tengesdal, Sébastien Gros, Tor Arne Johansen:
Real-time Feasible Usage of Radial Basis Functions for Representing Unstructured Environments in Optimal Ship Control This work was supported by the Research Council of Norway through the Autoship Centre for Research-based Innovation, project number 309230, and by Kongsberg Maritime through the University Technology Center on Ship Performance and Cyber Physical Systems. ACC 2024: 4050-4057 - [c73]Austin Yunker, Jason Luce, John C. Roeske, Rajkumar Kettimuthu, Hyejoo Kang, Sebastien Gros, Alec M. Block:
Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography. IEEE Big Data 2024: 2057-2064 - [c72]Dirk Reinhardt, Katrin Baumgärtner, Jonathan Frey, Moritz Diehl, Sebastien Gros:
MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control. CDC 2024: 1787-1794 - [c71]Kai Wang, Kiet Tuan Hoang, Sébastien Gros:
Robustifying Model Predictive Control of Uncertain Linear Systems with Chance Constraints. CDC 2024: 3650-3655 - [c70]Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros:
Flipping-based Policy for Chance-Constrained Markov Decision Processes. NeurIPS 2024 - [i47]Sangjun Bae, Balázs Kulcsár, Sebastien Gros:
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach. CoRR abs/2401.00661 (2024) - [i46]Xun Shen, Ye Wang, Kazumune Hashimoto, Yuhu Wu, Sebastien Gros:
Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties. CoRR abs/2403.12379 (2024) - [i45]Dirk Reinhardt, Wenqi Cai, Sebastien Gros:
Data-Driven Domestic Flexible Demand: Observations from experiments in cold climate. CoRR abs/2407.16475 (2024) - [i44]Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros:
Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR abs/2407.16500 (2024) - [i43]Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros:
Flipping-based Policy for Chance-Constrained Markov Decision Processes. CoRR abs/2410.06474 (2024) - [i42]Esmaeel Mohammadi, Daniel Ortiz Arroyo, Aviaja Anna Hansen, Mikkel Stokholm-Bjerregaard, Sebastien Gros, Akhil S. Anand, Petar Durdevic:
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration. CoRR abs/2411.18305 (2024) - 2023
- [j38]Katrine Seel, Alberto Bemporad, Sébastien Gros, Jan Tommy Gravdahl:
Variance-Based Exploration for Learning Model Predictive Control. IEEE Access 11: 60724-60736 (2023) - [j37]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: 145264-145280 (2023) - [j36]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: 105793 (2023) - [j35]Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Optimization of the model predictive control meta-parameters through reinforcement learning. Eng. Appl. Artif. Intell. 123(Part A): 106211 (2023) - [j34]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Learning-based state estimation and control using MHE and MPC schemes with imperfect models. Eur. J. Control 73: 100880 (2023) - [j33]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): 3048-3063 (2023) - [j32]Anand Ganesan, Sebastien Gros, Nikolce Murgovski:
Numerical Strategies for Mixed-Integer Optimization of Power-Split and Gear Selection in Hybrid Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 24(3): 3194-3210 (2023) - [c69]Bjørn Andreas Kristiansen, Jan Tommy Gravdahl, Sebastien Gros, Tor Arne Johansen:
Energy optimal attitude control of a satellite actuated by magnetorquers in minimum time*. CCTA 2023: 400-405 - [c68]Dirk Reinhardt, Sebastien Gros, Tor Arne Johansen:
Fixed-Wing UAV Path-Following Control via NMPC on the Lowest Level. CCTA 2023: 451-458 - [c67]Katrine Seel, Sébastien Gros, Jan Tommy Gravdahl:
Combining Q-learning and Deterministic Policy Gradient for Learning-Based MPC. CDC 2023: 610-617 - [c66]Dirk Reinhardt, Sébastien Gros:
Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection. CDC 2023: 2576-2583 - [c65]Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros:
Model-Free Data-Driven Predictive Control Using Reinforcement Learning. CDC 2023: 4046-4052 - [c64]Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros:
A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC 2023: 1-7 - [c63]Arash Bahari Kordabad, Sebastien Gros:
Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR. ECC 2023: 1-6 - [c62]Arash Bahari Kordabad, Sebastien Gros:
Bias Correction of Discounted Optimal Steady-State using Cost Modification. ECC 2023: 1-6 - [c61]Jana Langholz, Karim Davari Benam, Bindu Sharan, Sebastien Gros, Anders Lyngvi Fougner:
Fully Automated Bi-Hormonal Intraperitoneal Artificial Pancreas Using a Two-Layer PID Control Scheme. ECC 2023: 1-8 - [i41]Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros:
Learning-based MPC from Big Data Using Reinforcement Learning. CoRR abs/2301.01667 (2023) - [i40]Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Dirk Reinhardt, Sebastien Gros, Jan Tommy Gravdahl:
Deep active learning for nonlinear system identification. CoRR abs/2302.12667 (2023) - [i39]Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith:
Once upon a time step: A closed-loop approach to robust MPC design. CoRR abs/2303.11021 (2023) - [i38]Huang Zhang, Faisal Altaf, Torsten Wik, Sebastien Gros:
Battery Capacity Knee Identification Using Unsupervised Time Series Segmentation. CoRR abs/2304.11671 (2023) - [i37]Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár:
Integrated Charging Scheduling and Operational Control for an Electric Bus Network. CoRR abs/2309.00523 (2023) - 2022
- [j31]Arash Bahari Kordabad, Rafael Wisniewski, Sebastien Gros:
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint. IEEE Access 10: 130058-130067 (2022) - [j30]Mario Zanon, Sébastien Gros:
A new dissipativity condition for asymptotic stability of discounted economic MPC. Autom. 141: 110287 (2022) - [j29]Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-constrained Markov Decision Processes using MPC. Autom. 143: 110399 (2022) - [j28]Sebastien Gros, Mario Zanon:
Learning for MPC with stability & safety guarantees. Autom. 146: 110598 (2022) - [j27]Sebastien Gros, Mario Zanon:
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control. Autom. 146: 110602 (2022) - [j26]Andreas B. Martinsen, Anastasios M. Lekkas, Sébastien Gros:
Optimal Model-Based Trajectory Planning With Static Polygonal Constraints. IEEE Trans. Control. Syst. Technol. 30(3): 1159-1170 (2022) - [j25]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): 1977-1989 (2022) - [j24]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): 3654-3669 (2022) - [j23]Sangjun Bae, Sébastien Gros, Balázs Kulcsár:
Can AI Abuse Personal Information in an EV Fast-Charging Market? IEEE Trans. Intell. Transp. Syst. 23(7): 8759-8769 (2022) - [j22]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): 10662-10679 (2022) - [c60]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. ACC 2022: 2124-2129 - [c59]Kai Wang, Sébastien Gros:
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming. CDC 2022: 2947-2952 - [c58]Karim Davari Benam, Hasti Khoshamadi, Laura Lema-Pérez, Sebastien Gros, Anders Lyngvi Fougner:
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas. EMBC 2022: 171-176 - [c57]Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. ECC 2022: 1858-1863 - [i36]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sebastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. CoRR abs/2203.13854 (2022) - [i35]Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. CoRR abs/2203.16989 (2022) - [i34]Huang Zhang, Yang Su, Faisal Altaf, Torsten Wik, Sebastien Gros:
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level. CoRR abs/2204.12420 (2022) - [i33]Shambhuraj Sawant, Sebastien Gros:
Bridging the gap between QP-based and MPC-based RL. CoRR abs/2205.08856 (2022) - [i32]Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC. CoRR abs/2206.05089 (2022) - [i31]Arash Bahari Kordabad, Mario Zanon, Sebastien Gros:
Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control. CoRR abs/2210.04302 (2022) - [i30]Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár:
Conflict-free Charging and Real-time Control for an Electric Bus Network. CoRR abs/2210.06821 (2022) - 2021
- [j21]Siri Gulaker Mathisen, Kristoffer Gryte, Sebastien Gros, Tor Arne Johansen:
Precision Deep-Stall Landing of Fixed-Wing UAVs Using Nonlinear Model Predictive Control. J. Intell. Robotic Syst. 101(1): 24 (2021) - [j20]Mario Zanon, Sebastien Gros:
Safe Reinforcement Learning Using Robust MPC. IEEE Trans. Autom. Control. 66(8): 3638-3652 (2021) - [c56]Sébastien Gros, Mario Zanon:
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method. ACC 2021: 1947-1952 - [c55]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC 2021: 1985-1990 - [c54]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. ACC 2021: 2121-2126 - [c53]Sébastien Gros, Mario Zanon:
Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies. ACC 2021: 2543-2548 - [c52]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CCTA 2021: 57-62 - [c51]Kai Wang, Sébastien Gros:
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints. CDC 2021: 2312-2317 - [c50]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: 2990-2995 - [c49]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: 6365-6370 - [c48]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Approximate Robust NMPC using Reinforcement Learning. ECC 2021: 132-137 - [c47]Mario Zanon, Sébastien Gros:
On the Similarity Between Two Popular Tube MPC Formulations. ECC 2021: 651-656 - [c46]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. ECC 2021: 1086-1091 - [c45]Johannes P. Maree, Sébastien Gros, Harald T. Walnum:
Adaptive control and identification for heating demand-response in buildings. ECC 2021: 1931-1936 - [c44]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. ECC 2021: 2573-2578 - [c43]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: 682-687 - [c42]Johannes P. Maree, Sébastien Gros, Venkatachalam Lakshmanan:
Low-complexity Risk-averse MPC for EMS. SmartGridComm 2021: 358-363 - [i29]Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-Constrained Markov Decision Processes Using MPC. CoRR abs/2102.01383 (2021) - [i28]Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Reinforcement Learning of the Prediction Horizon in Model Predictive Control. CoRR abs/2102.11122 (2021) - [i27]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. CoRR abs/2103.11871 (2021) - [i26]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
Reinforcement Learning based on Scenario-tree MPC for ASVs. CoRR abs/2103.11949 (2021) - [i25]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. CoRR abs/2104.02411 (2021) - [i24]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. CoRR abs/2104.02413 (2021) - [i23]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Approximate Robust NMPC using Reinforcement Learning. CoRR abs/2104.02743 (2021) - [i22]Sébastien Gros, Mario Zanon:
A Dissipativity Theory for Undiscounted Markov Decision Processes. CoRR abs/2104.10997 (2021) - [i21]Arash Bahari Kordabad, Sebastien Gros:
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning. CoRR abs/2105.11313 (2021) - [i20]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CoRR abs/2106.03541 (2021) - [i19]Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sebastien Gros:
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CoRR abs/2106.08634 (2021) - [i18]Mario Zanon, Sébastien Gros:
A New Dissipativity Condition for Asymptotic Stability of Discounted Economic MPC. CoRR abs/2106.09377 (2021) - [i17]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 abs/2108.01459 (2021) - [i16]Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning. CoRR abs/2111.04146 (2021) - [i15]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections. CoRR abs/2111.10125 (2021) - [i14]Hossein Nejatbakhsh Esfahani, Behdad Aminian, Esten Ingar Grøtli, Sebastien Gros:
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles. CoRR abs/2111.10179 (2021) - 2020
- [j19]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: 204974-204986 (2020) - [j18]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: 32 (2020) - [j17]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): 62-80 (2020) - [j16]Sébastien Gros, Mario Zanon:
Data-Driven Economic NMPC Using Reinforcement Learning. IEEE Trans. Autom. Control. 65(2): 636-648 (2020) - [i13]Sebastien Gros, Mario Zanon, Alberto Bemporad:
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality? CoRR abs/2004.00915 (2020) - [i12]Sebastien Gros, Mario Zanon:
Reinforcement Learning for Mixed-Integer Problems Based on MPC. CoRR abs/2004.01430 (2020) - [i11]Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros:
Combining system identification with reinforcement learning-based MPC. CoRR abs/2004.03265 (2020) - [i10]Mario Zanon, Vyacheslav Kungurtsev, Sébastien Gros:
Reinforcement Learning Based on Real-Time Iteration NMPC. CoRR abs/2005.05225 (2020) - [i9]Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros:
Optimal model-based trajectory planning with static polygonal constraints. CoRR abs/2010.14428 (2020) - [i8]Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning. CoRR abs/2011.13365 (2020) - [i7]Sébastien Gros, Mario Zanon:
Safe Reinforcement Learning with Stability & Safety Guarantees Using Robust MPC. CoRR abs/2012.07369 (2020)
2010 – 2019
- 2019
- [j15]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
Optimal Coordination of Automated Vehicles at Intersections: Theory and Experiments. IEEE Trans. Control. Syst. Technol. 27(6): 2510-2525 (2019) - [j14]Josip Vasilj, Sebastien Gros, Damir Jakus, Mario Zanon:
Day-Ahead Scheduling and Real-Time Economic MPC of CHP Unit in Microgrid With Smart Buildings. IEEE Trans. Smart Grid 10(2): 1992-2001 (2019) - [c41]Robert Hult, Mario Zanon, Sébastien Gros, Paolo Falcone:
Optimal Coordination of Automated Vehicles at Intersections with Turns. ECC 2019: 225-230 - [c40]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. ECC 2019: 2258-2263 - [i6]Sébastien Gros, Mario Zanon:
Data-driven Economic NMPC using Reinforcement Learning. CoRR abs/1904.04152 (2019) - [i5]Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. CoRR abs/1904.04614 (2019) - [i4]Mario Zanon, Sébastien Gros:
Safe Reinforcement Learning Using Robust MPC. CoRR abs/1906.04005 (2019) - [i3]Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part II - Deterministic Case. CoRR abs/1906.04034 (2019) - [i2]Sebastien Gros, Mario Zanon:
Towards Safe Reinforcement Learning Using NMPC and Policy Gradients: Part I - Stochastic case. CoRR abs/1906.04057 (2019) - [i1]Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros:
Autonomous docking using direct optimal control. CoRR abs/1910.11625 (2019) - 2018
- [j13]Giuseppe Giordano, Sébastien Gros, Jonas Sjöberg:
An improved method for Wiener-Hammerstein system identification based on the Fractional Approach. Autom. 94: 349-360 (2018) - [j12]Rien Quirynen, Sebastien Gros, Moritz Diehl:
Inexact Newton-Type Optimization with Iterated Sensitivities. SIAM J. Optim. 28(1): 74-95 (2018) - [j11]Sebastien Gros, Mario Zanon:
Numerical Optimal Control With Periodicity Constraints in the Presence of Invariants. IEEE Trans. Autom. Control. 63(9): 2818-2832 (2018) - [c39]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
An MIQP-based heuristic for Optimal Coordination of Vehicles at Intersections. CDC 2018: 2783-2790 - [c38]Ruth Mitze, David Dillkötter, Sebastien Gros, Axel Schild, Martin Mönnigmann:
Fast and smooth surface B-spline interpolation for regularly spaced data used in system modeling to make MPC real-time feasible. ECC 2018: 1-6 - [c37]Rachel Leuthold, Jochem De Schutter, Elena C. Malz, Giovanni Licitra, Sebastien Gros, Moritz Diehl:
Operational Regions of a Multi-Kite AWE System. ECC 2018: 52-57 - [c36]Elena C. Malz, Mario Zanon, Sebastien Gros:
A Quantification of the Performance Loss of Power Averaging in Airborne Wind Energy Farms. ECC 2018: 58-63 - [c35]Julio Luna, Sebastien Gros, Ole Falkenberg, Axel Schild:
A Sparse ANN-based Fatigue Estimation for Wind Turbine Control based on NMPC. ECC 2018: 398-403 - [c34]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
Energy-Optimal Coordination of Autonomous Vehicles at Intersections. ECC 2018: 602-607 - [c33]Mario Zanon, Robert Hult, Sebastien Gros, Paolo Falcone:
Experimental Validation of Distributed Optimal Vehicle Coordination. ECC 2018: 1511-1516 - [c32]Julio Luna, Sebastien Gros, Jens Geisler, Ole Falkenberg, Rafal Noga, Axel Schild:
Super-short Term Wind Speed Prediction based on Artificial Neural Networks for Wind Turbine Control Applications. IECON 2018: 1952-1957 - [c31]Josip Vasilj, Sebastien Gros, Damir Jakus, Petar Saraijcev:
Multi-market Scheduling of Battery Storages Within Renewable Portfolios. ISGT Europe 2018: 1-6 - 2017
- [j10]Sebastien Gros, Axel Schild:
Real-time economic nonlinear model predictive control for wind turbine control. Int. J. Control 90(12): 2799-2812 (2017) - [j9]Rien Quirynen, Sebastien Gros, Boris Houska, Moritz Diehl:
Lifted collocation integrators for direct optimal control in ACADO toolkit. Math. Program. Comput. 9(4): 527-571 (2017) - [j8]Emil Klintberg, Sebastien Gros:
Numerical Structure of the Hessian of the Lagrange Dual Function for a Class of Convex Problems. SIAM J. Control. Optim. 55(1): 574-593 (2017) - [j7]Sebastien Gros, Mario Zanon:
Penalty Functions for Handling Large Deviation of Quadrature States in NMPC. IEEE Trans. Autom. Control. 62(8): 3848-3860 (2017) - [j6]Emil Klintberg, Sebastien Gros:
A Parallelizable Interior Point Method for Two-Stage Robust MPC. IEEE Trans. Control. Syst. Technol. 25(6): 2087-2097 (2017) - 2016
- [j5]Emil Klintberg, Sebastien Gros:
An inexact interior point method for optimization of differential algebraic systems. Comput. Chem. Eng. 92: 163-171 (2016) - [c30]Awantha Jayasiri, Sebastien Gros, George K. I. Mann:
Tracking control and state estimation of a mobile robot based on NMPC and MHE. ACC 2016: 1999-2004 - [c29]Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
Primal decomposition of the optimal coordination of vehicles at traffic intersections. CDC 2016: 2567-2573 - [c28]Emil Klintberg, John Dahl, Jonas Fredriksson, Sebastien Gros:
An improved dual Newton strategy for scenario-tree MPC. CDC 2016: 3675-3681 - 2015
- [c27]Sebastien Gros, Mario Zanon, Moritz Diehl:
Baumgarte stabilisation over the SO(3) rotation group for control. CDC 2015: 620-625 - [c26]Rien Quirynen, Sebastien Gros, Moritz Diehl:
Lifted implicit integrators for direct optimal control. CDC 2015: 3212-3217 - 2014
- [c25]Attila Kozma, Emil Klintberg, Sebastien Gros, Moritz Diehl:
An improved Distributed Dual Newton-CG method for convex quadratic programming problems. ACC 2014: 2324-2329 - [c24]Sebastien Gros, Rien Quirynen, Moritz Diehl:
An improved real-time economic NMPC scheme for Wind Turbine control using spline-interpolated aerodynamic coefficients. CDC 2014: 935-940 - [c23]Mario Zanon, Sebastien Gros, Moritz Diehl:
Local properties of economic NMPC, dissipativity and dynamic programming. CDC 2014: 2746-2751 - [c22]Sebastien Gros:
A Newton algorithm for distributed Semi-Definite Programs using the primal-dual interior-point method. CDC 2014: 3222-3227 - [c21]Sebastien Gros:
A distributed algorithm for NMPC-based wind farm control. CDC 2014: 4844-4849 - [c20]Emil Klintberg, Sebastien Gros:
A primal-dual Newton method for distributed Quadratic Programming. CDC 2014: 5843-5848 - [c19]Mario Zanon, Greg Horn, Sebastien Gros, Moritz Diehl:
Control of Dual-Airfoil Airborne Wind Energy systems based on nonlinear MPC and MHE. ECC 2014: 1801-1806 - 2013
- [j4]Mario Zanon, Sebastien Gros, Joel Andersson, Moritz Diehl:
Airborne Wind Energy Based on Dual Airfoils. IEEE Trans. Control. Syst. Technol. 21(4): 1215-1222 (2013) - [c18]Sebastien Gros, Moritz Diehl:
NMPC based on Huber penalty functions to handle large deviations of quadrature states. ACC 2013: 3159-3164 - [c17]Kurt Geebelen, A. Wagner, Sebastien Gros, Jan Swevers, Moritz Diehl:
Moving Horizon Estimation with a huber penalty function for robust pose estimation of tethered airplanes. ACC 2013: 6169-6174 - [c16]Sebastien Gros:
An economic NMPC formulation for wind turbine control. CDC 2013: 1001-1006 - [c15]Sebastien Gros, Milan Vukov, Moritz Diehl:
A real-time MHE and NMPC scheme for wind turbine control. CDC 2013: 1007-1012 - [c14]Rien Quirynen, Sebastien Gros, Moritz Diehl:
Efficient NMPC for nonlinear models with linear subsystems. CDC 2013: 5101-5106 - [c13]Mario Zanon, Sebastien Gros, Moritz Diehl:
A Lyapunov function for periodic economic optimizing Model Predictive Control. CDC 2013: 5107-5112 - [c12]Sebastien Gros, Mario Zanon, Moritz Diehl:
A relaxation strategy for the optimization of Airborne Wind Energy systems. ECC 2013: 1011-1016 - [c11]Sebastien Gros, Mario Zanon, Moritz Diehl:
Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control & Moving Horizon Estimation. ECC 2013: 1017-1022 - [c10]Mario Zanon, Sebastien Gros, Moritz Diehl:
Rotational start-up of tethered airplanes based on nonlinear MPC and MHE. ECC 2013: 1023-1028 - [c9]Rien Quirynen, Sebastien Gros, Moritz Diehl:
Fast auto generated ACADO integrators and application to MHE with multi-rate measurements. ECC 2013: 3077-3082 - 2012
- [c8]Sebastien Gros, Mario Zanon, Moritz Diehl:
Orbit control for a power generating airfoil based on nonlinear MPC. ACC 2012: 137-142 - [c7]Kurt Geebelen, Hammad Ahmad, Milan Vukov, Sebastien Gros, Jan Swevers, Moritz Diehl:
An experimental test set-up for launch/recovery of an Airborne Wind Energy (AWE) system. ACC 2012: 4405-4410 - [c6]Sebastien Gros, Rien Quirynen, Moritz Diehl:
Aircraft control based on fast non-linear MPC & multiple-shooting. CDC 2012: 1142-1147 - [c5]Sebastien Gros, Moritz Diehl:
Attitude estimation based on inertial and position measurements. CDC 2012: 1758-1763 - [c4]Dinh Quoc Tran, Wim Michiels, Sebastien Gros, Moritz Diehl:
An inner convex approximation algorithm for BMI optimization and applications in control. CDC 2012: 3576-3581 - [c3]Julia Sternberg, Boris Houska, Sebastien Gros, Moritz Diehl:
Approximate Robust Optimal Control of Periodic Systems with Invariants and High-Index Differential Algebraic Systems. ROCOND 2012: 690-695
2000 – 2009
- 2009
- [j3]Sébastien Gros, Balasubramaniam Srinivasan, Dominique Bonvin:
Optimizing control based on output feedback. Comput. Chem. Eng. 33(1): 191-198 (2009) - [j2]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): 1099-1112 (2009) - [j1]Sébastien Gros, Benoît Chachuat, Dominique Bonvin:
Neighbouring-extremal control for singular dynamic optimisation problems. Part II: multiple-input systems. Int. J. Control 82(7): 1193-1211 (2009) - 2005
- [c2]Sebastien Gros, Bala Srinivasan, Dominique Bonvin:
Static optimization via tracking of the necessary conditions of optimality using neighboring extremals. ACC 2005: 251-255 - 2004
- [c1]Sebastien Gros, Balakumar Srinivasan, Dominique Bonvin:
Neighboring extremal controllers for singular problems. ACC 2004: 34-39
Coauthor Index
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