Sebastien Gros
About
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 Equinor, DNV, Konsberg, but also smaller ones focusing on energy.
I also co-supervise several PhD projects related to the Artificial Pancreas problem, and multi-rotor wind turbine control. Finally, I supervise and co-supervise 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 2023-2024
Optimal Control of Residential PV and Battery Storage
When operating on the spot market, residential consumers and households can benefit from having a local battery-based energy storage. The benefit stems from charging the battery at low spot prices and discharging it at high prices. Batteries have additional value when the residence or house is equipped with photovoltaic electricity production (PV) delivering varying local energy production. However, due to the high price of batteries, the economic viability of local energy storage requires operating the system optimally. In this project, we will improve an existing stochastic economic MPC formulation to achieve that task and assess that solution experimentally. The assessment will be based on experiments conducted on a real house equipped with PVs and a battery. The project will involve the following tasks:
· Refine the existing statistical prediction methods of the house hourly energy demand and PV production
· Attempt to form spot market predictions beyond the day-ahead prices
· Refine the stochastic MPC formulation
· Run experiments on the house
This project aims to be either an MSc thesis or a specialization project followed by an MSc thesis. The work will be part of a research project with the company Chainpro.
Required skills and useful experience:
· Programming skills in Python
· Numerical Optimal Control, MPC
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Data-Driven MPC for Energy Management in Buildings
Intelligent energy consumption for buildings has become an absolute necessity to utilize energy resources efficiently and economically. The recent energy crisis and high price variations have brought this topic to more social focus lately. But the problem of optimally managing the energy consumption in buildings is a complex topic. Developing physical building models is notoriously difficult, and the resulting models tend to be very unreliable.
Methods of data-driven modeling and control of the energy in buildings are abundant in research. However, proper validations of these methods still need to be conducted. Here at ITK, we have developed our own set of methods to perform data-driven MPC for building energy management. Thanks to its industrial connections, ITK has the opportunity to validate these methods via experiments on actual buildings. This project will extend an early MSc project on the topic and bring the ITK methods to a higher level of maturity. The tasks will involve:
· Understanding the data-driven MPC tools in use at ITK
· Understanding the data and control of the real test building
· Validating the data-driven Digital Twin of the building and the resulting MPC scheme on the data
· Testing the data-driven MPC on the real building
Required skills and useful experience:
· Programming skills in Python
· Numerical Optimal Control, MPC
This project aims at being either a MSc thesis, or a specialization project followed with a MSc thesis. The student will working the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no). The work will be part of research activities carried out with the company Enoco (https://www.enoco.no/) and ITK.
Contact: Dirk Reinhardt (dirk.p.reinhardt@ntnu.no)
Data-Driven MPC for Energy Management in Houses
Intelligent energy consumption for buildings has become necessary to utilize energy resources efficiently and economically. The recent energy crisis and high price variations have brought this topic to more social focus lately. However, optimally managing the energy consumption in houses is a complex topic. Developing control models for homes must be automated to achieve optimal residential consumption. In that context, reliable data-driven control techniques are necessary to solve this problem.
Here at ITK, we have developed our own set of methods to perform data-driven MPC for energy management in houses. These solutions can be tested and refined via experiments on a real smart home that ITK operates. This project will extend an earlier MSc project on the topic and bring the ITK methods to a higher level of maturity. The tasks will involve:
· Understanding the data-driven MPC tools in use at ITK
· Understanding the data and control system of the ITK smart house
· Validating the data-driven Digital Twin of the house and the resulting MPC scheme
· Testing the data-driven MPC on the ITK smart house
This project aims at being either a MSc thesis, or a specialization project followed with a MSc thesis. The student will working the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no). The work will be part of the research project MAIDOM.
Required skills and useful experience:
· Programming skills in Python
· Numerical Optimal Control, MPC
Contact: Dirk Reinhardt (dirk.p.reinhardt@ntnu.no)
Software for Optimal Design of Domestic Energy Systems
A number of systems can be installed on a house today to improve its energy efficiency. Heat pumps (single or double stage), heat storage, electricity storage, PV panels, solar thermal panels, etc, can all contribute to making a house more efficient or even passive. However, deciding what system to install, and what combination and with what sizes is an intricate problem. It depends on the household consumption pattern, the house physical characteristics, the local electricity costs and climate, the house layout and orientation, and the investment costs and various supports available for these installations. Homeowners are not able to tackle this problem themselves, and companies are lacking the tools to solve it. In this project, we will build a software tool dedicated to solve this problem in the Norwegian context. The software tool will be based on Python, and use advance numerical optimization techniques to select the correct system to use for a given house and its design.
This project aims to be either an M.Sc. thesis or a specialization project followed by an MSc thesis. The student will work with Prof. Sebastien Gros's research group and real house data.
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Simulation Modeling for an Energy Community Business Model
Energy communities are becoming increasingly popular as a way to generate and manage energy locally, reduce the carbon footprint, and increase resilience. This project aims to develop a simulation model for an energy community, including generation, transmission, distribution systems, consumers, and prosumers. The proposed simulation model should be tuned and validated with real data for prototyping and testing management strategies.
The project will involve the following tasks:
· Collect data on the energy community business model, including the generation system, transmission system, distribution system, consumers, and prosumers.
· Develop a scalable and modular simulation model in Python.
· Validate the simulation model by comparing the simulation results with real-world data.
· Perform a sensitivity analysis to identify the key parameters that affect the performance of the energy community business model.
· Compare the model with existing software tools.
This project aims to be either an MSc thesis or a specialization project followed by an MSc thesis. The students will be working in the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no) in collaboration with ABB Sweden.
Required skills and useful experience:
· Programming skills in Python
· Statistics, modeling
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Autonomous Economic Optimization of Renewable Energy Communities: A Pathway to Sustainable and Resilient Energy Systems
Renewable energy communities (RECs) are emerging as a new model for sustainable and decentralized energy systems. These communities, which can be defined as groups of households, businesses, and institutions that generate, consume, and share renewable energy resources, have the potential to reduce greenhouse gas emissions, improve energy security, and enhance community resilience. However, the economic viability of RECs depends on various factors, such as technology costs, energy consumption patterns, regulatory frameworks, and market structures. In this proposal, we will explore the economic optimization of RECs as a pathway to sustainable and resilient energy systems.
This project aims to develop an optimization model to help RECs maximize their financial benefits and assess their economic viability. The project will include the following tasks:
· Gather data from a case study of RECs (Italian market).
· Form an optimization model and optimization tool to help RECs maximize their economic viability.
· Evaluate the economic viability of various renewable sources (PV, wind, storage) and optimize energy mixes.
This project aims to be either an MSc thesis or a specialization project followed by an MSc thesis. The students will be working in the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no) in collaboration with ABB Sweden.
Required skills and useful experience:
· Programming skills in Python
· Numerical optimization, MPC
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Cybernetics of Indoor Farming
Small-scale to large-scale indoor farming has been widely adopted across the globe in recent years as a sustainable food production method. It is an area of tremendous innovation and economic activity during the post covid period. Indoor farming, especially vertical farming has a wide range of benefits, for example a healthy source of food, low environmental impacts, local sourcing, and all-year-around production. Still, in the very early phase of development, vertical farming offers a great opportunity for us to contribute to making the system efficient to feed the world with a minimal environmental footprint. From this perspective, such highly controlled environment farming allows us cyberneticians to use various tools at our disposal to make them optimal.
This project is planned as a joint specialization project and master thesis. The students will be working in the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no). During the project phase, the students are expected to do the following tasks:
· Design and build two fully integrated hydroponics units with all the necessary sensors and communication channels.
· Integrate hydroponic system with a data acquisition and monitoring software framework.
A good example on building an automated hydroponics system can be found in https://www.youtube.com/watch?v=nyqykZK2Ev4&t=11s . The students will be provided with a basic design and possibly with most of the necessary electronics and mechanical structure to start building the units immediately upon starting the project.
During the master thesis, the students could utilize these hydroponics units for exploring the scope of optimization and control in indoor farming. There is a wide range of problems to explore in this area. We might focus on problems like stress analysis on plants upon varying different climatic conditions. But this is open for students to be more creative and explore different aspects of the problem during the thesis.
Required skills:
· Programming skills in C++, Python
· Electronics, hardware Integration, and Communications.
Contact: Akhil S Anand (akhil.s.anand@ntnu.no)
Optimal control of wave energy converters
Ocean waves represent a substantial source of renewable energy and will be part of the solution when transitioning to emission-free energy systems world-wide. The Swedish company CorPower Ocean (https://corpowerocean.com/), one of the leading companies in wave energy conversion, is currently in the demonstration phase with a system that partly uses technology originating from NTNU. It utilizes the combination of innovative mechanical solutions and optimal control methods to maximize power output while ensuring survival.
Optimal model-based control of wave energy converters (WEC) enables improved performance while respecting machinery constraints. The control objectives typically include the maximization of power output considering system constraints as, e.g., position, velocity, and generator torque. The overall power output of the WEC is strongly linked with the control performance, which makes the optimal control an important task.
The goal of this master thesis is the development and evaluation of optimal control strategies for a point-absorber WEC. For this task, a nonlinear model is used to formulate the optimal control problem. The optimization problem may include energy maximization, loss minimization, fatigue related penalties, and the consideration of continuous control inputs as well as discrete decision variables. A simulation environment will be provided for evaluation of the developed control schemes.
This project is planned as a joint specialization project and master thesis. The students will be working in the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no) in collaboration with CorPower Ocean. The following points should be addressed during the project/thesis:
· Literature overview
· Development of optimal control schemes for WEC
· Numerical evaluation of the control scheme based on simulations
Contact: akhil.s.anand@ntnu.no , gabriel.forstner@corpowerocean.com
Learning algorithms for model uncertainties of wave energy converters
Ocean waves represent a substantial source of renewable energy and will be part of the solution when transitioning to emission-free energy systems world-wide. The Swedish company CorPower Ocean (https://corpowerocean.com/), one of the leading companies in wave energy conversion, is currently in the demonstration phase with a system that partly uses technology originating from NTNU. It utilizes the combination of innovative mechanical solutions and optimal control methods to maximize power output while ensuring survival.
Optimal model-based operation of wave energy converters (WEC) requires sufficiently accurate representation of the physical system. Numerical models are inevitably affected by model uncertainties due to approximations and simplifications. The performance of model-based estimation, prediction, and control algorithms is directly linked with the overall power output of the WEC, which makes the improvement of the model accuracy an important task.
The goal of this master thesis is the development and evaluation of learning algorithms for uncertain model parameters. For this task, both the estimation of first-principle model parameters and phenomenological representations may be investigated. A simulation environment is provided for evaluation of the developed learning algorithms.
This project is planned as a joint specialization project and master thesis. The students will be working in the research group of Prof. Sebastien Gros (sebastien.gros@ntnu.no) in collaboration with CorPower Ocean. The following points should be addressed during the project/thesis:
· Literature overview
· Development of learning algorithms
· Evaluation of the learning algorithms on simulations
Contact: akhil.s.anand@ntnu.no , gabriel.forstner@corpowerocean.com
Energy Efficient Control of Autonomous Car
Energy efficiency is vital to the transition to a more sustainable future. The future's autonomous cars must be energy-efficient to increase the range and reduce cost. Achieving high energy efficiency requires careful path planning and control strategies that optimize the vehicle's trajectory for minimal energy usage. Fuel Fighter NTNU is a technical student organization developing energy-efficient autonomous electric cars of the future.
This project will use our knowledge about the car and the environment to drive optimally by minimizing the energy used. You will investigate several methods, including optimal control and path planning. You will be able to evaluate the performance of the proposed methods through simulations and real-world testing on the Fuel Fighters car. The team will use the system to complete the challenges in the competition Shell Eco-Marathon.
This project aims to be either an M.Sc. thesis or a specialization project followed by an MSc thesis. The student will work with Prof. Sebastien Gros's research group and the student association Revolve.
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Private 5G Networks as a Solution for a Safe IoT
The IoT is expected to play an important role in our future society. Among the many applications, the management of distributed consumption and production in our power system is expected to be a major one. In that context, the IoT will serve as an “information backbone” orchestrating flexible power demand, local energy storages, and exchanging information regarding the status of distributed power generation (e.g. rooftop PV panels). A major obstacle identified in that context is the reliability of the information exchanges, especially at large scale (many units) and within tight time constraints (sub-second). Classic IoT solutions based on TCP/IP protocols, APIs and classic internet connections are not able to meet the requirements that a high-performance power system will have. In order to address this issue, a possible venue is the deployment of a 5G system dedicated to the problem. This “private” 5G is expected to meet the specifications of the power system and offer a highly secure information system. However, there is a number of questions to clarify to establish this approach as a good solution. In this project we will start answering these questions. In particular, we will try to test the scalability of a 5G system, i.e. its ability to handle many low-intensity units, and its ability to handle broadcasted signals (common instruction sent to a number of units at once). The project will include the following tentative tasks:
- Learn how to exchange information over the private 5G system available at IES
- Investigate and define the real-time constraints and reliability constraints required in the future power system, in collaboration with IEL and ITK
- Run emulated “stress tests” on the IES 5G system, simulating a large number of units transmitting information at the same time, and devise realistic information-exchange protocols to best use the communication resources, in collaboration with IES / ITK
- Test broadcasting signals and their capability to achieve timely responses from all units
- The goals of these tasks will be to establish and early pathway on how to use private 5G systems in the power system.
This project will be carried out in collaboration with IES and IEL.
Contact: Prof. Sebastien Gros (sebastien.gros@ntnu.no)
Research
For an overview of my research, please consult:
- https://www.researchgate.net/profile/Sebastien-Gros-2
- https://scholar.google.no/citations?user=38fYqeYAAAAJ&hl=en
Publications
2023
-
Bøhn, Eivind Eigil;
Gros, Sebastien Nicolas;
Moe, Signe;
Johansen, Tor Arne.
(2023)
Optimization of the model predictive control meta-parameters through reinforcement learning.
Engineering Applications of Artificial Intelligence.
volum 123.
Academic article
-
De Schutter, Jochem;
Leuthold, Rachel;
Bronnenmeyer, Thilo;
Malz, Elena;
Gros, Sebastien Nicolas;
Diehl, Moritz.
(2023)
AWEbox: An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems.
Energies.
volum 16 (4).
Academic article
-
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.
Academic article
-
Lundby, Erlend Torje Berg;
Rasheed, Adil;
Halvorsen, Ivar Johan;
Reinhardt, Dirk Peter;
Gros, Sebastien Nicolas;
Gravdahl, Jan Tommy.
(2023)
Deep active learning for nonlinear system identification.
arXiv.org.
Academic article
-
Seel, Katrine;
Bemporad, Alberto;
Gros, Sebastien Nicolas;
Gravdahl, Jan Tommy.
(2023)
Variance-based Exploration for Learning Model Predictive Control.
IEEE Access.
Academic article
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.
Academic article
-
Bahari Kordabad, Arash;
Wisniewski, Rafael;
Gros, Sebastien.
(2022)
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint.
IEEE Access.
volum 10.
Academic article
-
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).
Academic chapter/article/Conference paper
-
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.
Academic article
-
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).
volum 24 (3).
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control.
Automatica.
volum 146.
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Learning for MPC with stability & safety guarantees.
Automatica.
volum 146.
Academic article
-
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).
Academic article
-
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.
volum 1.
Academic article
-
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).
volum 24 (3).
Academic article
-
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.
Academic article
-
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).
Academic article
-
Sawant, Shambhuraj Vijaysinh;
Gros, Sebastien Nicolas.
(2022)
Bridging the gap between QP-based and MPC-based Reinforcement Learning.
IFAC-PapersOnLine.
volum 55 (15).
Academic article
-
Wang, Kai;
Gros, Sebastien Nicolas.
(2022)
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming.
IEEE Conference on Decision and Control. Proceedings.
Academic article
-
Zanon, Mario;
Gros, Sebastien.
(2022)
A new dissipativity condition for asymptotic stability of discounted economic MPC.
Automatica.
volum 141.
Academic article
-
Zanon, Mario;
Gros, Sebastien;
Palladino, Michele.
(2022)
Stability-constrained Markov Decision Processes using MPC.
Automatica.
volum 143.
Academic article
-
Zhang, Huang;
Su, Yang;
Ataf, Faisal;
Wik, Torsten;
Gros, Sebastien Nicolas.
(2022)
Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data.
IEEE Transactions on Transportation Electrification.
Academic article
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).
Academic article
-
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.
Academic chapter/article/Conference paper
-
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).
Academic chapter/article/Conference paper
-
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).
Academic article
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien.
(2021)
Bias Correction in Deterministic Policy Gradient Using Robust MPC.
2021 European Control Conference, ECC 2021.
Chapter
-
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.
Academic chapter/article/Conference paper
-
Blindheim, Simon;
Gros, Sebastien;
Johansen, Tor Arne.
(2021)
Risk-Based Model Predictive Control for Autonomous Ship Emergency Management.
IFAC-PapersOnLine.
volum 53 (2).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method.
Proc. 2021 American Control Conference.
Academic chapter/article/Conference paper
-
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).
Academic article
-
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.
Academic chapter/article/Conference paper
-
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).
Academic article
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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).
Academic article
-
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).
Academic chapter/article/Conference paper
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Approximate Robust NMPC using Reinforcement Learning.
2021 European Control Conference, ECC 2021.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
Wang, Kai;
Gros, Sebastien.
(2021)
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints.
Proceedings of IEEE CDC2021 conference.
Academic chapter/article/Conference paper
-
Zanon, Mario;
Gros, Sebastien.
(2021)
Safe reinforcement learning using robust MPC.
IEEE Transactions on Automatic Control.
volum 66 (8).
Academic article
-
Zanon, Mario;
Gros, Sebastien.
(2021)
On the Similarity between Two Popular Tube MPC Formulations.
2021 European Control Conference, ECC 2021.
Academic chapter/article/Conference paper
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).
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2020)
Data-driven Economic NMPC using Reinforcement Learning.
IEEE Transactions on Automatic Control.
volum 65 (2).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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.
Academic article
-
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.
Academic article
-
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).
Academic article
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2020)
Combining system identification with reinforcement learning-based MPC.
IFAC-PapersOnLine.
volum 53 (2).
Academic article
-
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.
Academic article
-
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.
Academic article
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.
Academic article
-
Gros, Sebastien.
(2019)
Dual-mode Batch-to-batch Optimization as a Markov Decision Process.
Industrial & Engineering Chemistry Research.
volum 58 (30).
Academic article
-
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.
Academic article
-
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).
Academic article
-
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.
Academic article
-
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.
Academic article
-
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.
Academic article
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2019)
Autonomous docking using direct optimal control.
IFAC-PapersOnLine.
volum 52 (21).
Academic article
-
Piprek, Patrick;
Gros, Sebastien;
Holzapfel, Florian.
(2019)
Rare event chance-constrained optimal control using polynomial chaos and subset simulation.
Processes.
volum 7 (4).
Academic article
-
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.
Academic article
Journal publications
-
Bøhn, Eivind Eigil;
Gros, Sebastien Nicolas;
Moe, Signe;
Johansen, Tor Arne.
(2023)
Optimization of the model predictive control meta-parameters through reinforcement learning.
Engineering Applications of Artificial Intelligence.
volum 123.
Academic article
-
De Schutter, Jochem;
Leuthold, Rachel;
Bronnenmeyer, Thilo;
Malz, Elena;
Gros, Sebastien Nicolas;
Diehl, Moritz.
(2023)
AWEbox: An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems.
Energies.
volum 16 (4).
Academic article
-
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.
Academic article
-
Lundby, Erlend Torje Berg;
Rasheed, Adil;
Halvorsen, Ivar Johan;
Reinhardt, Dirk Peter;
Gros, Sebastien Nicolas;
Gravdahl, Jan Tommy.
(2023)
Deep active learning for nonlinear system identification.
arXiv.org.
Academic article
-
Seel, Katrine;
Bemporad, Alberto;
Gros, Sebastien Nicolas;
Gravdahl, Jan Tommy.
(2023)
Variance-based Exploration for Learning Model Predictive Control.
IEEE Access.
Academic article
-
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.
Academic article
-
Bahari Kordabad, Arash;
Wisniewski, Rafael;
Gros, Sebastien.
(2022)
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint.
IEEE Access.
volum 10.
Academic article
-
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.
Academic article
-
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).
volum 24 (3).
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Economic MPC of Markov Decision Processes: Dissipativity in undiscounted infinite-horizon optimal control.
Automatica.
volum 146.
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2022)
Learning for MPC with stability & safety guarantees.
Automatica.
volum 146.
Academic article
-
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).
Academic article
-
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.
volum 1.
Academic article
-
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).
volum 24 (3).
Academic article
-
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.
Academic article
-
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).
Academic article
-
Sawant, Shambhuraj Vijaysinh;
Gros, Sebastien Nicolas.
(2022)
Bridging the gap between QP-based and MPC-based Reinforcement Learning.
IFAC-PapersOnLine.
volum 55 (15).
Academic article
-
Wang, Kai;
Gros, Sebastien Nicolas.
(2022)
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming.
IEEE Conference on Decision and Control. Proceedings.
Academic article
-
Zanon, Mario;
Gros, Sebastien.
(2022)
A new dissipativity condition for asymptotic stability of discounted economic MPC.
Automatica.
volum 141.
Academic article
-
Zanon, Mario;
Gros, Sebastien;
Palladino, Michele.
(2022)
Stability-constrained Markov Decision Processes using MPC.
Automatica.
volum 143.
Academic article
-
Zhang, Huang;
Su, Yang;
Ataf, Faisal;
Wik, Torsten;
Gros, Sebastien Nicolas.
(2022)
Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data.
IEEE Transactions on Transportation Electrification.
Academic article
-
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).
Academic article
-
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).
Academic article
-
Blindheim, Simon;
Gros, Sebastien;
Johansen, Tor Arne.
(2021)
Risk-Based Model Predictive Control for Autonomous Ship Emergency Management.
IFAC-PapersOnLine.
volum 53 (2).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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).
Academic article
-
Zanon, Mario;
Gros, Sebastien.
(2021)
Safe reinforcement learning using robust MPC.
IEEE Transactions on Automatic Control.
volum 66 (8).
Academic article
-
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).
Academic article
-
Gros, Sebastien;
Zanon, Mario.
(2020)
Data-driven Economic NMPC using Reinforcement Learning.
IEEE Transactions on Automatic Control.
volum 65 (2).
Academic article
-
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).
Academic article
-
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).
Academic article
-
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.
Academic article
-
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.
Academic article
-
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).
Academic article
-
Martinsen, Andreas Bell;
Lekkas, Anastasios;
Gros, Sebastien.
(2020)
Combining system identification with reinforcement learning-based MPC.
IFAC-PapersOnLine.
volum 53 (2).
Academic article
-
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.
Academic article
-
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.
Academic article
-
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.
Academic article
-
Gros, Sebastien.
(2019)
Dual-mode Batch-to-batch Optimization as a Markov Decision Process.
Industrial & Engineering Chemistry Research.
volum 58 (30).
Academic article
-
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.
Academic article
-
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).
Academic article
-
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.
Academic article
-
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.
Academic article
-
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.
Academic article
-
Martinsen, Andreas Bell;
Lekkas, Anastasios M.;
Gros, Sebastien.
(2019)
Autonomous docking using direct optimal control.
IFAC-PapersOnLine.
volum 52 (21).
Academic article
-
Piprek, Patrick;
Gros, Sebastien;
Holzapfel, Florian.
(2019)
Rare event chance-constrained optimal control using polynomial chaos and subset simulation.
Processes.
volum 7 (4).
Academic article
-
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.
Academic article
Part of book/report
-
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).
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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).
Academic chapter/article/Conference paper
-
Bahari Kordabad, Arash;
Nejatbakhsh Esfahani, Hossein;
Gros, Sebastien.
(2021)
Bias Correction in Deterministic Policy Gradient Using Robust MPC.
2021 European Control Conference, ECC 2021.
Chapter
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
Gros, Sebastien;
Zanon, Mario.
(2021)
Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method.
Proc. 2021 American Control Conference.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
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).
Academic chapter/article/Conference paper
-
Nejatbakhsh Esfahani, Hossein;
Bahari Kordabad, Arash;
Gros, Sebastien.
(2021)
Approximate Robust NMPC using Reinforcement Learning.
2021 European Control Conference, ECC 2021.
Academic chapter/article/Conference paper
-
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.
Academic chapter/article/Conference paper
-
Wang, Kai;
Gros, Sebastien.
(2021)
Recursive Feasibility of Stochastic Model Predictive Control with Mission-Wide Probabilistic Constraints.
Proceedings of IEEE CDC2021 conference.
Academic chapter/article/Conference paper
-
Zanon, Mario;
Gros, Sebastien.
(2021)
On the Similarity between Two Popular Tube MPC Formulations.
2021 European Control Conference, ECC 2021.
Academic chapter/article/Conference paper
Teaching
Courses
Media
2022
-
Academic lectureBahari 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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Academic lectureBahari 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.
-
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.
-
Academic lectureGros, Sebastien Nicolas. (2022) Combining Reinforcement Learning and MPC. AdCONIP ; 2022-08-07 - 2022-08-09.
-
Academic lectureGros, Sebastien Nicolas. (2022) Learning for MPC: fundamentals and novel results. Lectures at Xidian University ; Online. 2022-12-13 - 2022-12-13.
-
LectureGros, Sebastien Nicolas. (2022) Reinforcement Learning and MPC. MPC Chinese School ; 2022-07-15 - 2022-07-20.
-
LectureGros, Sebastien Nicolas. (2022) Reinforcement Learning and MPC: an ideal combination?. Invited talks at MERL . Mitsubishi Electric Research Laboratory; 2022-04-12 - 2022-04-12.
-
Academic lectureKhoshamadi, 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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Popular scientific lectureNejatbakhsh 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.
-
Academic lectureSawant, 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.
-
Academic lectureWang, 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
-
Academic lectureBøhn, 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.
-
Academic lectureGros, Sebastien. (2021) Introduction to Reinforcement Learning and Model Predictive Control. Chinese PhD summer school ; 2021-06-15 - 2021-06-19.
-
Academic lectureGros, Sebastien. (2021) Model Predictive Control and Reinforcement Learning: Introduction and Novel Results. Int. PhD summer School, Freiburg, Germany ; 2021-08-02 - 2021-08-03.
-
Academic lectureGros, Sebastien; Zanon, Mario. (2021) Reinforcement Learning based on MPC and the Stochastic Policy Gradient Method. American Control Conference ; 2021-05-24 - 2021-05-30.
-
Academic lectureMaree, 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.
-
Academic lectureNejatbakhsh 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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Academic lectureZanon, Mario; Gros, Sebastien. (2021) On the Similarity between Two Popular Tube MPC Formulations. European Control Conference ; 2021-06-29.
2020
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Academic lectureBlindheim, 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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Academic lectureGros, 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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Academic lectureGros, 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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Academic lectureGros, Sebastien; Zanon, Mario. (2020) Reinforcement Learning for mixed-integer problems based on MPC. IFAC ; 2020-07-11 - 2020-07-17.
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Academic lectureGros, 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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Academic lectureLacombe, 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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Academic lectureRastegarpour, 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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Academic lectureZanon, Mario; Faulwasser, Timm; Gros, Sebastien. (2020) Practical Economic MPC. PAMM ; 2020-10-06 - 2020-10-11.
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Academic lectureZanon, 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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LectureHult, 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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LecturePiprek, 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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LectureZanon, Mario; Gros, Sebastien; Bemporad, Alberto. (2019) Practical Reinforcement Learning of Stabilizing Economic MPC. European Control Conference ; 2019-06-25 - 2019-06-28.