Sebastien Gros
Om
Current research
My main current research concerns safe Reinforcement Learning and Data-Driven MPC. I currently have 6 PhD students working on connected topics. This work is strongly connected to the industry, with large industrial partners such as DNV GL, Konsberg Marine.
I also co-supervise several PhD projects related to the Artificial Pancreas problem, multi-rotor wind turbine control. Finally, I supervise and cosupervise several industrial PhD projects based at Volvo (Sweden), focusing on powertrain control, 2nd life of batteries, and traffic management.
To access my publications, please consult:
- https://www.researchgate.net/profile/Sebastien-Gros-2
- https://scholar.google.no/citations?user=38fYqeYAAAAJ&hl=en
MSc thesis / Specialization projects for 2022-2023
I propose several projects all revolving around an existing smart house running in Trondheim. The system is equipped with two heat pumps (4 indoor units), real-time power measurements, multiple climate sensors, and a cutting-edge ventilation system with heat recovery. All equippments are IoT enabled, and the heat pumps are currently operated by an MPC / MHE scheme against the local spot market. This smart house aims at serving as a demonstrator and experimental platform to prepare a wide deployment of smart house solutions in Norway. A number of questions are still under investigation, summarized in the following projects.
Optimal control of battery storage in Smart Houses
With the raising amount of variations in the electricity prices, battery storage is becoming increasingly interesting for individual houses. This is especially the case for houses that have PVs, and if the battery storage is built from recycled EV batteries. The start-up company ChainPro is currently developping this business in Trondheim. In this project, we will investigate the development of advance optimization solutions to size the battery storage and exploit it optimally, in order to minimize the cost of electricity for the user. ChainPro has more than a dozen houses equipped with their system, providing data and an experimental testing ground for the solution we develop.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no),
Advance IoT-based smart house climate control
In a previous MSc project, we have developped a software architecture to manage the smart house from a Raspberry Pi. The software allows the management of connected heat pumps, and the reading and logging of multiple sensors (temperature, power, etc.). In this project, the cutting-edge ventilation system with IoT capabilities will be added in the in the Pi software. We will then investigate the possibility of deploying smart control algorithms for the ventilation system, in order to optimize the climate of the house against the electricity spot market and nettleie. The student in this project will have to familiarise him/herself to the existing software infrastructure, develop it further, and finally start building solutions for the smart management of the ventilation system.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no),
A real-time power data collection system for smart houses
Having access to the real-time power consumption of a house is a crucial information to run efficient smart house systems. Commercial sollutions exist to monitor that real-time power consumption from the HAN-port of the smart meter. While useful, these solutions are not ideal. They rely on complex data streaming through APIs, are subject to internet losses, changes of policies from the provider, and they do not provide a local storage of the data. Moreover, the cost of these devices is similar to the one of a small computer like a Raspberry Pi. In this project, we will investigate the use of a Raspberry Pi or similar small computer to log the real-time power data consumption from the smart meter HAN port. The computer will be naturally visible on the house LAN and interogable do retrieve the data. It will moreover offer the computational power to perform useful data pre-treatment, which commercial devices do not offer. This aspect will also be investigated here, if time allows.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
IoT hardware and software for Smart Houses
The smart house is currently operated by a Raspberry Pi. While cheap and effective, it is not obvious that this choice of hardware is the best one. In particular, a light computer with a stronger computational capability may be benefitial. In this project, we will investigate the use of different computer architecture, and develop IoT software for these architecture for data management and control.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
Hybrid Digital Twin for smart house control
An early modelling of the smart house dynamics has been performed, using classic System Identification (SYSID) tecniques. A large amount of data has been collected on the house. The data collection is ongoing. In this project, we would like to investigate further modelling approaches for smart houses. The end goal would be to develop a modelling technique that can be deployed on different houses with a limited amount of engineering work. Methods based on Hybrid Digital Twins, where physical modelling is combined with Machine Learning (ML), are considered as the most promising. Various ML techniques will be considered, such as Gaussian Processes and Bayesian Neural Networks.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no),
Learning-based Optimization of Smart Houses
The smart house heating system is currently operated by an advance MPC / MHE scheme. Due to the difficulty of modelling the dynamics of a house accurately, the model on which this control scheme is based is far from perfect. In this project, we will investigate the use of learning techniques in order to compensate for the model inaccuracy, and improve the control performance of the control scheme using the data collected on the house. We will focus on Reinforcement Learning as a learning approach.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
Improved MHE / MPC scheme for smart house control
The current smart house is managed by an advance MHE / MPC scheme. While the control system is effective, its formulation is fairly complex, and holds too many control parameters. This makes its tuning and management probably more difficult than necessary. In this project, we will investigate different formulations of the MHE / MPC scheme, seeking simpler forms while retaining its control and optimization capabilities. The goal is to propose an MHE / MPC formulation that will then be applicable more broadly for smart house control.
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
Optimization-Based Guidance for Agile Satellite Attitude Maneuvers
With an increasing demand for readily available high-quality images, the maneuverability and pointing stability requirements of earth observation satellites continue to grow. SENER Aerospace is researching the application of convex optimization in attitude guidance and control to fully exploit the spacecraft capabilities and enhance their access rates to geographical locations of interest.
To contribute to this research, this thesis investigates optimization-based guidance strategies to be applied to the attitude control problem. Key challenges here include the nonlinear dynamics, but also pointing constraints to avoid the exposure of delicate instruments to harmful radiation. Of particular interest here is furthermore the use of a control moment gyroscopes as a torque device. While this can provide very high torque capacities, its control is typically challenging, e.g. due to internal singularities affecting the momentarily available torque.
The project will be conducted in collaboration with the company Sener Aeropspacial
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
Imitation-learning for Optimization-Based Precision Landing of Spacecraft under Parafoil
Autonomous precision landing of spacecraft is anticipated to be a key technology in future spacecraft to enable both high precision interplanetary missions and vehicle reuse through a safe return to earth. One example of such a system is the reusable ESA space rider, whose guidance, navigation & control software is currently developed by SENER Aerospace enabling an autonomous landing using a parafoil.
To expand the capabilities of such systems, this thesis is to investigate optimization-based guidance strategies to be implemented onboard. A key challenge here are uncertainties and disturbances acting on the system – mainly in the form of winds – which should be taken into account in the generation of suitable trajectories. Since the resulting optimization problems can be computationally demanding, an implementation via suitable imitation learning techniques is to be investigated within this project.
The project will be conducted in collaboration with the company Sener Aeropspacial
NTNU ITK supervisor: Sebastien Gros (sebastien.gros@ntnu.no)
The following Tema are relevant to these projects:
Courses outside ITK can also be relevant.
Publikasjoner
2023
-
Cai, Wenqi;
Kordabad, Arash Bahari;
Gros, Sebastien.
(2023)
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value.
Engineering Applications of Artificial Intelligence.
Vitenskapelig artikkel
2022
-
Bahari Kordabad, Arash;
Gros, Sebastien.
(2022)
Q-learning of the storage function in Economic Nonlinear Model Predictive Control.
Engineering Applications of Artificial Intelligence.
volum 116.
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Wisniewski, Rafael;
Gros, Sebastien.
(2022)
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint.
IEEE Access.
volum 10.
Vitenskapelig artikkel
-
Davari Benam, Karim;
Khoshamadi, Hasti;
Pérez, Laura Lema;
Gros, Sebastien;
Fougner, Anders Lyngvi.
(2022)
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022).
Vitenskapelig kapittel/artikkel
-
Davari Benam, Karim;
Khoshamadi, Hasti;
Åm, Marte Kierulf;
Stavdahl, Øyvind;
Gros, Sebastien;
Fougner, Anders Lyngvi.
(2022)
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas.
Journal of Process Control.
volum 121.
Vitenskapelig artikkel
-
Ganesan, Anan;
Gros, Sebastien Nicolas;
Murgovski, Nikolce.
(2022)
Numerical Strategies for Mixed-Integer Optimization of Power-Split and Gear Selection in Hybrid Electric Vehicles.
IEEE transactions on intelligent transportation systems (Print).
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control.
Automatica.
volum 146.
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Learning for MPC with stability & safety guarantees.
Automatica.
volum 146.
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Falcone, Paolo.
(2022)
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections.
IEEE Transactions on Control Systems Technology.
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Falcone, Paolo.
(2022)
A Semidistributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections.
IEEE Transactions on Control Systems Technology.
volum 30 (5).
Vitenskapelig artikkel
-
Seel, Katrine;
Kordabad, Arash Bahari;
Gros, Sebastien;
Gravdahl, Jan Tommy.
(2022)
Convex Neural Network-Based Cost Modifications for Learning Model Predictive Control.
IEEE Open Journal of Control Systems.
Vitenskapelig artikkel
-
Lacombe, Remi;
Gros, Sebastien Nicolas;
Murgovski, Nikolce;
Kulcsár, Balázs.
(2022)
Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion.
IEEE transactions on intelligent transportation systems (Print).
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2022)
Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments.
Control Engineering Practice.
volum 120.
Vitenskapelig artikkel
-
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien Nicolas.
(2022)
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC.
IFAC-PapersOnLine.
volum 55 (15).
Vitenskapelig artikkel
-
Sawant, Shambhuraj Vijaysinh;
Gros, Sebastien Nicolas.
(2022)
Bridging the gap between QP-based and MPC-based Reinforcement Learning.
IFAC-PapersOnLine.
Vitenskapelig artikkel
-
Wang, Kai;
Gros, Sebastien Nicolas.
(2022)
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming.
IEEE Conference on Decision and Control. Proceedings.
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2022)
A new dissipativity condition for asymptotic stability of discounted economic MPC.
Automatica.
volum 141.
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien;
Palladino, Michele.
(2022)
Stability-constrained Markov Decision Processes using MPC.
Automatica.
volum 143.
Vitenskapelig artikkel
-
Zhang, Huang;
Su, Yang;
Ataf, Faisal;
Gros, Sebastien Nicolas;
Wik, Torsten.
(2022)
Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data.
IEEE Transactions on Transportation Electrification.
Vitenskapelig artikkel
2021
-
Bae, Sangjun;
Gros, Sebastien;
Kulcsár, Balázs.
(2021)
Can AI Abuse Personal Information in an EV Fast-Charging Market?.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (7).
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Cai, Wenqi;
Gros, Sebastien.
(2021)
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
-
Bahari Kordabad, Arash;
Cai, Wenqi;
Gros, Sebastien.
(2021)
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning.
2021 IEEE Conference on Control Technology and Applications (CCTA).
Vitenskapelig kapittel/artikkel
-
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning.
IFAC-PapersOnLine.
volum 54 (6).
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien.
(2021)
Bias Correction in Deterministic Policy Gradient Using Robust MPC.
2021 European Control Conference, ECC 2021.
Faglig kapittel
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2021)
Reinforcement Learning based on Scenario-tree MPC for ASVs.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Blindheim, Simon;
Gros, Sebastien;
Johansen, Tor Arne.
(2021)
Risk-Based Model Predictive Control for Autonomous Ship Emergency Management.
IFAC-PapersOnLine.
volum 53 (2).
Vitenskapelig artikkel
-
Bøhn, Eivind Eigil;
Gros, Sebastien;
Moe, Signe;
Johansen, Tor Arne.
(2021)
Reinforcement Learning of the Prediction Horizon in Model Predictive Control.
IFAC-PapersOnLine.
volum 54 (6).
Vitenskapelig artikkel
-
Bøhn, Eivind Eigil;
Gros, Sebastien;
Moe, Signe;
Johansen, Tor Arne.
(2021)
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning.
IFAC-PapersOnLine.
volum 54 (14).
Vitenskapelig artikkel
-
Cai, Wenqi;
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2021)
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Cai, Wenqi;
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Lacombe, Remi;
Gros, Sebastien;
Murgovski, Nikolce;
Kulcsár, Balázs.
(2021)
Bilevel Optimization for Bunching Mitigation and Eco-Driving of Electric Bus Lines.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (8).
Vitenskapelig artikkel
-
Löschenbrand, Markus;
Gros, Sebastien;
Lakshmanan, Venkatachalam.
(2021)
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression.
2021 International Conference on Smart Energy Systems and Technologies - SEST.
Vitenskapelig kapittel/artikkel
-
Malz, Elena C.;
Walter, Viktor;
Göransson, Lisa;
Gros, Sebastien.
(2021)
The value of airborne wind energy to the electricity system.
Wind Energy.
volum 25 (2).
Vitenskapelig artikkel
-
Maree, Johannes Philippus;
Gros, Sebastien;
Lakshmanan, Venkatachalam.
(2021)
Low-complexity Risk-averse MPC for EMS.
2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - SmartGridComm.
Vitenskapelig kapittel/artikkel
-
Maree, Johannes Philippus;
Gros, Sebastien;
Walnum, Harald Taxt.
(2021)
Adaptive control and identification for heating demand-response in buildings.
Proceedings of the 2021 European Control Conference.
Vitenskapelig kapittel/artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2021)
Optimal Model-Based Trajectory Planning With Static Polygonal Constraints.
IEEE Transactions on Control Systems Technology.
volum 30 (3).
Vitenskapelig artikkel
-
Nejatbakhsh Esfahani, Hossein;
Aminian, Behdad;
Grøtli, Esten Ingar;
Gros, Sebastien.
(2021)
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles.
20th International Conference on Advanced Robotics (ICAR).
Vitenskapelig kapittel/artikkel
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Approximate Robust NMPC using Reinforcement Learning.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Wang, Kai;
Gros, Sebastien.
(2021)
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2021)
Safe reinforcement learning using robust MPC.
IEEE Transactions on Automatic Control.
volum 66 (8).
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2021)
On the Similarity between Two Popular Tube MPC Formulations.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
2020
-
Bae, Sangjun;
Jang, Immo;
Gros, Sebastien;
Kulcsár, Balázs;
Hellgren, Jonas.
(2020)
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (4).
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2020)
Data-driven Economic NMPC using Reinforcement Learning.
IEEE Transactions on Automatic Control.
volum 65 (2).
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Frison, Gianluca;
Gros, Sebastien;
Falcone, Paolo.
(2020)
Experimental validation of a semi-distributed sequential quadratic programming method for optimal coordination of automated vehicles at intersections.
Optimal control applications & methods.
volum 41 (4).
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Wymeersch, Henk;
Falcone, Paolo.
(2020)
Optimisation-based coordination of connected, automated vehicles at intersections.
Vehicle System Dynamics.
volum 58 (5).
Vitenskapelig artikkel
-
Malz, E.C.;
Verendel, V.;
Gros, Sebastien.
(2020)
Computing the power profiles for an Airborne Wind Energy system based on large-scale wind data.
Renewable Energy.
volum 162.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Bitar, Glenn Ivan;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2020)
Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments.
IEEE Access.
volum 8.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien;
Glomsrud, Jon Arne;
Pedersen, Tom Arne.
(2020)
Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions.
Frontiers in Robotics and AI.
volum 7 (32).
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2020)
Combining system identification with reinforcement learning-based MPC.
IFAC-PapersOnLine.
volum 53 (2).
Vitenskapelig artikkel
-
Mathisen, Siri Gulaker;
Gryte, Kristoffer;
Gros, Sebastien;
Johansen, Tor Arne.
(2020)
Precision Deep-Stall Landing of Fixed-Wing UAVs using Nonlinear Model Predictive Control.
Journal of Intelligent and Robotic Systems.
volum 101.
Vitenskapelig artikkel
-
Rastegapour, Soroush;
Gros, Sebastien;
Ferrarini, Luca.
(2020)
MPC approaches for modulating air-to-water heat pumps in radiant-floor buildings.
Control Engineering Practice.
volum 95.
Vitenskapelig artikkel
2019
-
Araghi, Ali Roghani;
Riahy, G.H.;
Carlson, Ola;
Gros, Sebastien.
(2019)
Enhancing the net energy of wind turbine using wind prediction and economic NMPC with high-accuracy nonlinear WT models.
Renewable Energy.
Vitenskapelig artikkel
-
Gros, Sebastien.
(2019)
Dual-mode Batch-to-batch Optimization as a Markov Decision Process.
Industrial & Engineering Chemistry Research.
volum 58 (30).
Vitenskapelig artikkel
-
Kouzoupis, Dimitris;
Klintberg, Emil;
Frison, Gianlucca;
Gros, Sebastien;
Diehl, Moritz.
(2019)
A dual Newton strategy for tree-sparse quadratic programs and its implementation in the open-source software treeQP.
International Journal of Robust and Nonlinear Control.
volum 29.
Vitenskapelig artikkel
-
Leuthold, Rachel;
Crawford, Curran;
Gros, Sebastien;
Diehl, Moritz.
(2019)
Engineering Wake Induction Model For Axisymmetric Multi-Kite Systems.
Journal of Physics: Conference Series (JPCS).
volum 1256 (1).
Vitenskapelig artikkel
-
Luna, Julio;
Falkenberg, Ole;
Gros, Sebastien;
Schild, Axel.
(2019)
Wind Turbine Fatigue Reduction based on Economic-Tracking NMPC with Direct ANN Fatigue Estimation.
Renewable Energy.
volum 147.
Vitenskapelig artikkel
-
Malz, EC;
Koenemann, J;
Sieberling, S;
Gros, Sebastien.
(2019)
A reference model for airborne wind energy systems for optimization and control.
Renewable Energy.
volum 140.
Vitenskapelig artikkel
-
Malz, Elena;
Hedenus, Fredrik;
Göransson, Lisa;
Verendel, Vilhelm;
Gros, Sebastien.
(2019)
Drag-mode airborne wind energy vs. wind turbines: An analysis of power production, variability and geography.
Energy.
volum 193.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2019)
Autonomous docking using direct optimal control.
IFAC-PapersOnLine.
volum 52 (21).
Vitenskapelig artikkel
-
Piprek, Patrick;
Gros, Sebastien;
Holzapfel, Florian.
(2019)
Rare event chance-constrained optimal control using polynomial chaos and subset simulation.
Processes.
volum 7 (4).
Vitenskapelig artikkel
-
Wikander, Lukas;
Fridholm, Björn;
Gros, Sebastien;
Wik, Torsten.
(2019)
Ideal Benefits of Exceeding Fixed Voltage Limits on Lithium-Ion Batteries with Increasing Cycle Age.
Journal of Power Sources.
Vitenskapelig artikkel
Vitenskapelige artikler
-
Cai, Wenqi;
Kordabad, Arash Bahari;
Gros, Sebastien.
(2023)
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value.
Engineering Applications of Artificial Intelligence.
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Gros, Sebastien.
(2022)
Q-learning of the storage function in Economic Nonlinear Model Predictive Control.
Engineering Applications of Artificial Intelligence.
volum 116.
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Wisniewski, Rafael;
Gros, Sebastien.
(2022)
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint.
IEEE Access.
volum 10.
Vitenskapelig artikkel
-
Davari Benam, Karim;
Khoshamadi, Hasti;
Åm, Marte Kierulf;
Stavdahl, Øyvind;
Gros, Sebastien;
Fougner, Anders Lyngvi.
(2022)
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas.
Journal of Process Control.
volum 121.
Vitenskapelig artikkel
-
Ganesan, Anan;
Gros, Sebastien Nicolas;
Murgovski, Nikolce.
(2022)
Numerical Strategies for Mixed-Integer Optimization of Power-Split and Gear Selection in Hybrid Electric Vehicles.
IEEE transactions on intelligent transportation systems (Print).
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control.
Automatica.
volum 146.
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Learning for MPC with stability & safety guarantees.
Automatica.
volum 146.
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Falcone, Paolo.
(2022)
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections.
IEEE Transactions on Control Systems Technology.
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Falcone, Paolo.
(2022)
A Semidistributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections.
IEEE Transactions on Control Systems Technology.
volum 30 (5).
Vitenskapelig artikkel
-
Seel, Katrine;
Kordabad, Arash Bahari;
Gros, Sebastien;
Gravdahl, Jan Tommy.
(2022)
Convex Neural Network-Based Cost Modifications for Learning Model Predictive Control.
IEEE Open Journal of Control Systems.
Vitenskapelig artikkel
-
Lacombe, Remi;
Gros, Sebastien Nicolas;
Murgovski, Nikolce;
Kulcsár, Balázs.
(2022)
Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion.
IEEE transactions on intelligent transportation systems (Print).
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2022)
Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments.
Control Engineering Practice.
volum 120.
Vitenskapelig artikkel
-
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien Nicolas.
(2022)
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC.
IFAC-PapersOnLine.
volum 55 (15).
Vitenskapelig artikkel
-
Sawant, Shambhuraj Vijaysinh;
Gros, Sebastien Nicolas.
(2022)
Bridging the gap between QP-based and MPC-based Reinforcement Learning.
IFAC-PapersOnLine.
Vitenskapelig artikkel
-
Wang, Kai;
Gros, Sebastien Nicolas.
(2022)
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming.
IEEE Conference on Decision and Control. Proceedings.
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2022)
A new dissipativity condition for asymptotic stability of discounted economic MPC.
Automatica.
volum 141.
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien;
Palladino, Michele.
(2022)
Stability-constrained Markov Decision Processes using MPC.
Automatica.
volum 143.
Vitenskapelig artikkel
-
Zhang, Huang;
Su, Yang;
Ataf, Faisal;
Gros, Sebastien Nicolas;
Wik, Torsten.
(2022)
Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data.
IEEE Transactions on Transportation Electrification.
Vitenskapelig artikkel
-
Bae, Sangjun;
Gros, Sebastien;
Kulcsár, Balázs.
(2021)
Can AI Abuse Personal Information in an EV Fast-Charging Market?.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (7).
Vitenskapelig artikkel
-
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning.
IFAC-PapersOnLine.
volum 54 (6).
Vitenskapelig artikkel
-
Blindheim, Simon;
Gros, Sebastien;
Johansen, Tor Arne.
(2021)
Risk-Based Model Predictive Control for Autonomous Ship Emergency Management.
IFAC-PapersOnLine.
volum 53 (2).
Vitenskapelig artikkel
-
Bøhn, Eivind Eigil;
Gros, Sebastien;
Moe, Signe;
Johansen, Tor Arne.
(2021)
Reinforcement Learning of the Prediction Horizon in Model Predictive Control.
IFAC-PapersOnLine.
volum 54 (6).
Vitenskapelig artikkel
-
Bøhn, Eivind Eigil;
Gros, Sebastien;
Moe, Signe;
Johansen, Tor Arne.
(2021)
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning.
IFAC-PapersOnLine.
volum 54 (14).
Vitenskapelig artikkel
-
Lacombe, Remi;
Gros, Sebastien;
Murgovski, Nikolce;
Kulcsár, Balázs.
(2021)
Bilevel Optimization for Bunching Mitigation and Eco-Driving of Electric Bus Lines.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (8).
Vitenskapelig artikkel
-
Malz, Elena C.;
Walter, Viktor;
Göransson, Lisa;
Gros, Sebastien.
(2021)
The value of airborne wind energy to the electricity system.
Wind Energy.
volum 25 (2).
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2021)
Optimal Model-Based Trajectory Planning With Static Polygonal Constraints.
IEEE Transactions on Control Systems Technology.
volum 30 (3).
Vitenskapelig artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2021)
Safe reinforcement learning using robust MPC.
IEEE Transactions on Automatic Control.
volum 66 (8).
Vitenskapelig artikkel
-
Bae, Sangjun;
Jang, Immo;
Gros, Sebastien;
Kulcsár, Balázs;
Hellgren, Jonas.
(2020)
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness.
IEEE transactions on intelligent transportation systems (Print).
volum 23 (4).
Vitenskapelig artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2020)
Data-driven Economic NMPC using Reinforcement Learning.
IEEE Transactions on Automatic Control.
volum 65 (2).
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Frison, Gianluca;
Gros, Sebastien;
Falcone, Paolo.
(2020)
Experimental validation of a semi-distributed sequential quadratic programming method for optimal coordination of automated vehicles at intersections.
Optimal control applications & methods.
volum 41 (4).
Vitenskapelig artikkel
-
Hult, Robert;
Zanon, Mario;
Gros, Sebastien;
Wymeersch, Henk;
Falcone, Paolo.
(2020)
Optimisation-based coordination of connected, automated vehicles at intersections.
Vehicle System Dynamics.
volum 58 (5).
Vitenskapelig artikkel
-
Malz, E.C.;
Verendel, V.;
Gros, Sebastien.
(2020)
Computing the power profiles for an Airborne Wind Energy system based on large-scale wind data.
Renewable Energy.
volum 162.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Bitar, Glenn Ivan;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2020)
Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments.
IEEE Access.
volum 8.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien;
Glomsrud, Jon Arne;
Pedersen, Tom Arne.
(2020)
Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions.
Frontiers in Robotics and AI.
volum 7 (32).
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2020)
Combining system identification with reinforcement learning-based MPC.
IFAC-PapersOnLine.
volum 53 (2).
Vitenskapelig artikkel
-
Mathisen, Siri Gulaker;
Gryte, Kristoffer;
Gros, Sebastien;
Johansen, Tor Arne.
(2020)
Precision Deep-Stall Landing of Fixed-Wing UAVs using Nonlinear Model Predictive Control.
Journal of Intelligent and Robotic Systems.
volum 101.
Vitenskapelig artikkel
-
Rastegapour, Soroush;
Gros, Sebastien;
Ferrarini, Luca.
(2020)
MPC approaches for modulating air-to-water heat pumps in radiant-floor buildings.
Control Engineering Practice.
volum 95.
Vitenskapelig artikkel
-
Araghi, Ali Roghani;
Riahy, G.H.;
Carlson, Ola;
Gros, Sebastien.
(2019)
Enhancing the net energy of wind turbine using wind prediction and economic NMPC with high-accuracy nonlinear WT models.
Renewable Energy.
Vitenskapelig artikkel
-
Gros, Sebastien.
(2019)
Dual-mode Batch-to-batch Optimization as a Markov Decision Process.
Industrial & Engineering Chemistry Research.
volum 58 (30).
Vitenskapelig artikkel
-
Kouzoupis, Dimitris;
Klintberg, Emil;
Frison, Gianlucca;
Gros, Sebastien;
Diehl, Moritz.
(2019)
A dual Newton strategy for tree-sparse quadratic programs and its implementation in the open-source software treeQP.
International Journal of Robust and Nonlinear Control.
volum 29.
Vitenskapelig artikkel
-
Leuthold, Rachel;
Crawford, Curran;
Gros, Sebastien;
Diehl, Moritz.
(2019)
Engineering Wake Induction Model For Axisymmetric Multi-Kite Systems.
Journal of Physics: Conference Series (JPCS).
volum 1256 (1).
Vitenskapelig artikkel
-
Luna, Julio;
Falkenberg, Ole;
Gros, Sebastien;
Schild, Axel.
(2019)
Wind Turbine Fatigue Reduction based on Economic-Tracking NMPC with Direct ANN Fatigue Estimation.
Renewable Energy.
volum 147.
Vitenskapelig artikkel
-
Malz, EC;
Koenemann, J;
Sieberling, S;
Gros, Sebastien.
(2019)
A reference model for airborne wind energy systems for optimization and control.
Renewable Energy.
volum 140.
Vitenskapelig artikkel
-
Malz, Elena;
Hedenus, Fredrik;
Göransson, Lisa;
Verendel, Vilhelm;
Gros, Sebastien.
(2019)
Drag-mode airborne wind energy vs. wind turbines: An analysis of power production, variability and geography.
Energy.
volum 193.
Vitenskapelig artikkel
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2019)
Autonomous docking using direct optimal control.
IFAC-PapersOnLine.
volum 52 (21).
Vitenskapelig artikkel
-
Piprek, Patrick;
Gros, Sebastien;
Holzapfel, Florian.
(2019)
Rare event chance-constrained optimal control using polynomial chaos and subset simulation.
Processes.
volum 7 (4).
Vitenskapelig artikkel
-
Wikander, Lukas;
Fridholm, Björn;
Gros, Sebastien;
Wik, Torsten.
(2019)
Ideal Benefits of Exceeding Fixed Voltage Limits on Lithium-Ion Batteries with Increasing Cycle Age.
Journal of Power Sources.
Vitenskapelig artikkel
Del av bok/rapport
-
Davari Benam, Karim;
Khoshamadi, Hasti;
Pérez, Laura Lema;
Gros, Sebastien;
Fougner, Anders Lyngvi.
(2022)
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022).
Vitenskapelig kapittel/artikkel
-
Bahari Kordabad, Arash;
Cai, Wenqi;
Gros, Sebastien.
(2021)
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
-
Bahari Kordabad, Arash;
Cai, Wenqi;
Gros, Sebastien.
(2021)
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning.
2021 IEEE Conference on Control Technology and Applications (CCTA).
Vitenskapelig kapittel/artikkel
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien.
(2021)
Bias Correction in Deterministic Policy Gradient Using Robust MPC.
2021 European Control Conference, ECC 2021.
Faglig kapittel
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2021)
Reinforcement Learning based on Scenario-tree MPC for ASVs.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Cai, Wenqi;
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2021)
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Cai, Wenqi;
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Löschenbrand, Markus;
Gros, Sebastien;
Lakshmanan, Venkatachalam.
(2021)
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression.
2021 International Conference on Smart Energy Systems and Technologies - SEST.
Vitenskapelig kapittel/artikkel
-
Maree, Johannes Philippus;
Gros, Sebastien;
Lakshmanan, Venkatachalam.
(2021)
Low-complexity Risk-averse MPC for EMS.
2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - SmartGridComm.
Vitenskapelig kapittel/artikkel
-
Maree, Johannes Philippus;
Gros, Sebastien;
Walnum, Harald Taxt.
(2021)
Adaptive control and identification for heating demand-response in buildings.
Proceedings of the 2021 European Control Conference.
Vitenskapelig kapittel/artikkel
-
Nejatbakhsh Esfahani, Hossein;
Aminian, Behdad;
Grøtli, Esten Ingar;
Gros, Sebastien.
(2021)
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles.
20th International Conference on Advanced Robotics (ICAR).
Vitenskapelig kapittel/artikkel
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Approximate Robust NMPC using Reinforcement Learning.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics.
Proc. 2021 American Control Conference.
Vitenskapelig kapittel/artikkel
-
Wang, Kai;
Gros, Sebastien.
(2021)
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints.
Proceedings of IEEE CDC2021 conference.
Vitenskapelig kapittel/artikkel
-
Zanon, Mario;
Gros, Sebastien.
(2021)
On the Similarity between Two Popular Tube MPC Formulations.
2021 European Control Conference, ECC 2021.
Vitenskapelig kapittel/artikkel
Undervisning
Emner
Formidling
2022
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Vitenskapelig foredragBahari Kordabad, Arash; Gros, Sebastien. (2022) Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. 2022 European Control Conference (ECC) ; 2022-07-12 - 2022-07-15.
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Vitenskapelig foredragBahari Kordabad, Arash; Nejatbakhsh Esfahani, Hossein; Cai, Wenqi; Gros, Sebastien. (2022) Quasi-Newton Iteration in Deterministic Policy Gradient. 2022 American Control Conference (ACC ; 2022-06-08 - 2022-06-10.
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PosterDavari Benam, Karim; Khoshamadi, Hasti; Gros, Sebastien; Fougner, Anders Lyngvi. (2022) The Bihormonal Intraperitoneal Artificial Pancreas Achieves Fully Closed Loop Control in Anaesthetized Animals. Advanced Technologies & Treatments for Diabetes . Kenes; Barcelona. 2022-04-27 - 2022-04-30.
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Vitenskapelig foredragGros, Sebastien Nicolas. (2022) Combining Reinforcement Learning and MPC. AdCONIP ; 2022-08-07 - 2022-08-09.
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Vitenskapelig foredragGros, Sebastien Nicolas. (2022) Learning for MPC: fundamentals and novel results. Lectures at Xidian University ; Online. 2022-12-13 - 2022-12-13.
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Faglig foredragGros, Sebastien Nicolas. (2022) Reinforcement Learning and MPC. MPC Chinese School ; 2022-07-15 - 2022-07-20.
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Faglig foredragGros, Sebastien Nicolas. (2022) Reinforcement Learning and MPC: an ideal combination?. Invited talks at MERL . Mitsubishi Electric Research Laboratory; 2022-04-12 - 2022-04-12.
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Vitenskapelig foredragKhoshamadi, Hasti; Davari Benam, Karim; Pérez, Laura Lema; Gros, Sebastien; Fougner, Anders Lyngvi. (2022) A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas. The 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022) . IEEE Engineering in Medicine & Biology Society (EMBS); Glasgow, Scotland. 2022-07-11 - 2022-07-15.
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Populærvitenskapelig foredragNejatbakhsh Esfahani, Hossein; Gros, Sebastien Nicolas. (2022) Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC. 6th IFAC Conference on Intelligent Control and Automation Sciences ICONS 2022 ; 2022-07-13 - 2022-07-15.
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Vitenskapelig foredragSawant, Shambhuraj Vijaysinh; Gros, Sebastien Nicolas. (2022) Bridging the gap between QP-based and MPC-based Reinforcement Learning. 6th IFAC Conference on Intelligent Control and Automation Sciences ICONS 2022 ; Cluj-Napoca. 2022-07-13 - 2022-07-15.
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Vitenskapelig foredragWang, Kai; Gros, Sebastien Nicolas. (2022) Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming. 61th IEEE Conference on Decision and Control (CDC) ; 2022-12-06 - 2022-12-09.
2021
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Vitenskapelig foredragBøhn, Eivind Eigil; Gros, Sebastien; Moe, Signe; Johansen, Tor Arne. (2021) Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning. MICNON ; 2021-09-15 - 2021-09-17.
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Vitenskapelig foredragGros, Sebastien. (2021) Introduction to Reinforcement Learning and Model Predictive Control. Chinese PhD summer school ; 2021-06-15 - 2021-06-19.
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Vitenskapelig foredragGros, Sebastien. (2021) Model Predictive Control and Reinforcement Learning: Introduction and Novel Results. Int. PhD summer School, Freiburg, Germany ; 2021-08-02 - 2021-08-03.
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Vitenskapelig foredragGros, Sebastien; Zanon, Mario. (2021) Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method. American Control Conference ; 2021-05-24 - 2021-05-30.
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Vitenskapelig foredragMaree, Phillip; Gros, Sebastien; Walnum, Harald Taxt. (2021) Adaptive Control and Identification for Heating Demand-Response in Buildings. European Control Conference ; 2021-06-29 - 2021-07-02.
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Vitenskapelig foredragNejatbakhsh Esfahani, Hossein; Aminian, Behdad; Grøtli, Esten Ingar; Gros, Sebastien. (2021) Backstepping-based Ingtegral Sliding Mode Control With Time Delay Estimation for Autonomous Underwater Vehicles. 2021 20th International Conference on Advanced Robotics (ICAR) . IEEE; Ljubljana. 2021-12-06 - 2021-12-10.
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Vitenskapelig foredragZanon, Mario; Gros, Sebastien. (2021) On the Similarity between Two Popular Tube MPC Formulations. European Control Conference ; 2021-06-29.
2020
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Vitenskapelig foredragBlindheim, Simon; Gros, Sebastien; Johansen, Tor Arne. (2020) Risk-Based Model Predictive Control for Autonomous Ship Emergency Management. 1st virtual IFAC World Congress 2020 . International Federation of Automatic Control; Berlin. 2020-07-13 - 2020-07-17.
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Vitenskapelig foredragGros, Sebastien. (2020) Reinforcement Learning and Model Predictive Control: Theory and Recent Results. Chalmers Academic Lectures . Chalmers University of Technology; 2020-10-26 - 2020-10-30.
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Vitenskapelig foredragGros, Sebastien; Zanon, Mario. (2020) Bias Correction in Reinforcement Learning via the Deterministic Policy Gradient Method for MPC-Based Policies. American Control Conference ; 2020-05-24 - 2020-05-30.
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Vitenskapelig foredragGros, Sebastien; Zanon, Mario. (2020) Reinforcement Learning for mixed-integer problems based on MPC. IFAC ; 2020-07-11 - 2020-07-17.
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Vitenskapelig foredragGros, Sebastien; Zanon, Mario; Bemporad, Alberto. (2020) Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?. IFAC ; 2020-07-11 - 2020-07-17.
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Vitenskapelig foredragLacombe, Remi; Gros, Sebastien; Murgovski, Nikolce; Kulcsár, Balázs. (2020) Hierarchical Control of Electric Bus Lines. IFAC ; 2020-07-11 - 2020-07-17.
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Vitenskapelig foredragRastegarpour, Soroush; Ferrarini, Luca; Gros, Sebastien. (2020) Economic NMPC for Multiple Buildings Connected to a Heat Pump and Thermal and Electrical Storages. IFAC ; 2020-07-11 - 2020-07-17.
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Vitenskapelig foredragZanon, Mario; Faulwasser, Timm; Gros, Sebastien. (2020) Practical Economic MPC. PAMM ; 2020-10-06 - 2020-10-11.
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Vitenskapelig foredragZanon, Mario; Kungurtsev, Vyacheslav; Gros, Sebastien. (2020) Reinforcement Learning Based on Real-Time Iteration NMPC. IFAC ; 2020-07-11 - 2020-07-17.
2019
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Faglig foredragHult, Robert; Zanon, Mario; Gros, Sebastien; Falcone, Paolo. (2019) Optimal Coordination of Automated Vehicles at Intersections with Turns. European Control Conference ; 2019-06-25 - 2019-06-28.
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Faglig foredragPiprek, Patrick; Gros, Sebastien; Holzapfel, Florian. (2019) A Distributed Robust Optimal Control Framework Based on Polynomial Chaos. CEAS Specialist Conference on Guidance, Navigation & Control (EuroGNC) ; 2019-04-03 - 2019-04-05.
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Faglig foredragZanon, Mario; Gros, Sebastien; Bemporad, Alberto. (2019) Practical Reinforcement Learning of Stabilizing Economic MPC. European Control Conference ; 2019-06-25 - 2019-06-28.