Blar i NTNU Open på forfatter "Gros, Sebastien Nicolas"
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AWEbox: An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems
De Schutter, Jochem; Leuthold, Rachel; Bronnenmeyer, Thilo; Malz, Elena; Gros, Sebastien Nicolas; Diehl, Moritz (Peer reviewed; Journal article, 2023)In this paper, we present AWEbox, a Python toolbox for modeling and optimal control of multi-aircraft systems for airborne wind energy (AWE). AWEbox provides an implementation of optimization-friendly multi-aircraft AWE ... -
Bridging the gap between QP-based and MPC-based Reinforcement Learning
Sawant, Shambhuraj Vijaysinh; Gros, Sebastien Nicolas (Journal article; Peer reviewed, 2022) -
Energy Optimal Attitude Control and Task Execution for a Solar-Powered Spacecraft
Kristiansen, Bjørn Andreas; Gravdahl, Jan Tommy; Gros, Sebastien Nicolas; Johansen, Tor Arne (Peer reviewed; Journal article, 2024)In this article, we aim to maximize the net energy a solar-powered spacecraft gains when performing a sequence of tasks leading to attitude maneuvers over the spacecraft’s orbit, including an eclipse. The net energy can ... -
Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas
Davari Benam, Karim; Gros, Sebastien Nicolas; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2023)Objective: A fully automated artificial pancreas requires a meal estimator and predictions of blood glucose levels (BGL) to handle disturbances during meal times, all without relying on manual meal announcements and user ... -
Fully Automated Bi-Hormonal Intraperitoneal Artificial Pancreas Using a Two-Layer PID Control Scheme
Langholz, Jana; Davari Benam, Karim; Sharan, Bindu; Gros, Sebastien Nicolas; Fougner, Anders Lyngvi (Chapter, 2023)Treatment of type 1 diabetes mellitus is significantly improved by using commercially available hybrid closed-loop systems to deliver insulin. These systems, also called artificial pancreas (AP), use the subcutaneous (SC) ... -
Learning-based State Estimation and Control using MHE and MPC Schemes with Imperfect Models
Nejatbakhsh Esfahani, Hossein; Bahari Kordabad, Arash; Cai, Wenqi; Gros, Sebastien Nicolas (Peer reviewed; Journal article, 2023)This paper presents a reinforcement learning-based observer/controller using Moving Horizon Estimation (MHE) and Model Predictive Control (MPC) schemes where the models used in the MHE-MPC cannot accurately capture the ... -
Optimization of the model predictive control meta-parameters through reinforcement learning
Bøhn, Eivind Eigil; Gros, Sebastien Nicolas; Moe, Signe; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)Model predictive control (MPC) is increasingly being considered for control of fast systems and embedded applications. However, MPC has some significant challenges for such systems, such as its high computational complexity. ... -
A Painless Deterministic Policy Gradient Method for Learning-based MPC
Sadanandan Anand, Akhil; Sawant, Shambhuraj Vijaysinh; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy (Chapter, 2023)The combination of Reinforcement Learning (RL) and Model Predictive Control (MPC) has gained a lot of interest in the recent literature as a way of computing the optimal policies from MPC schemes based on inaccurate models. ... -
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC
Nejatbakhsh Esfahani, Hossein; Gros, Sebastien Nicolas (Peer reviewed; Journal article, 2022)In this paper, we propose a learning-based Model Predictive Control (MPC) approach for the polytopic Linear Parameter-Varying (LPV) systems with inexact scheduling parameters (as exogenous signals with inexact bounds), ... -
Sensor Fusion for Glucose Monitoring Systems
Al Ahdab, Mohamad; Davari Benam, Karim; Khoshamadi, Hasti; Fougner, Anders Lyngvi; Gros, Sebastien Nicolas (Peer reviewed; Journal article, 2023)A fully automated artificial pancreas (AP) requires accurate blood glucose (BG) readings. However, many factors can affect the accuracy of commercially available sensors. These factors include sensor artifacts due to the ... -
Solving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programming
Wang, Kai; Gros, Sebastien Nicolas (Journal article; Peer reviewed, 2022) -
Variance-Based Exploration for Learning Model Predictive Control
Seel, Katrine; Bemporad, Alberto; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)The combination of model predictive control (MPC) and learning methods has been gaining increasing attention as a tool to control systems that may be difficult to model. Using MPC as a function approximator in reinforcement ...