Blar i NTNU Open på forfatter "Gros, Sebastien Nicolas"
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A Scalable Front-end for the Social Media of Domestic Energy
Breistøl, Anders (Master thesis, 2024)Denne avhandlingen presenterer utviklingen av en skalerbar \gls{front-end} for \Gls{powiot} prosjektet og er beregnet på å brukes til \gls{onboarding} av bruker slik at de får muligheten til å utnytte seg av funcksjonalitetene ... -
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) -
Combining Q-learning and Deterministic Policy Gradient for Learning-Based MPC
Seel, Katrine; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)This paper considers adjusting a fully parametrized model predictive control (MPC) scheme to approximate the optimal policy for a system as accurately as possible. By adopting MPC as a function approximator in reinforcement ... -
Demonstration of a low-cost solution for implementing MPC in commercial buildings with legacy equipment
Walnum, Harald Taxt; Sartori, Igor; Ward, Peder; Gros, Sebastien Nicolas (Journal article; Peer reviewed, 2024)Model predictive control (MPC) approaches for HVAC systems in buildings have shown potential for significant reduction of energy use and for enabling flexible operation. However, a widespread adoption is long in coming, ... -
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) ... -
Kybfarm Embed: An Open-Source IoT Platform for Vertical Farming
Fuglum, Martin (Master thesis, 2024)Denne oppgaven presenterer Kybfarm Embed, en tingenes internett (IoT)-plattform tilpasset vertikalt landbruk, og en elektronisk styreenhet til en prototype for vertikalt landbruk. Vertikalt landbruk, som utnytter lagvis ... -
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), ... -
Predictive Modeling of Retail Store CO2 Cooling System Using Linear and RNN Methods for Control
Nordhagen, Aren Lekve (Master thesis, 2024)Fornybare energikilder legges oftere til kraftnettet for å motvirke klimaendringene. Som et resultat belastes kraftnettet ettersom energikilder som vind og sol er stokastiske av natur og ukontrollerbare. Dette resulterer ... -
Real-time Feasible Usage of Radial Basis Functions for Representing Unstructured Environments in Optimal Ship Control
Tengesdal, Trym; Gros, Sebastien Nicolas; Johansen, Tor Arne (Peer reviewed; Journal article, 2024) -
Reinforcement learning based MPC with neural dynamical models
Adhau, Saket; Gros, Sebastien Nicolas; Skogestad, Sigurd (Journal article; Peer reviewed, 2024)This paper presents an end-to-end learning approach to developing a Nonlinear Model Predictive Control (NMPC) policy, which does not require an explicit first-principles model and assumes that the system dynamics are either ... -
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) -
Sustainable vertical farming: Energy assessment and cost-effective light schedules
Bae, Gjermund; Tiller, Jakob (Master thesis, 2024)Vertikalt landbruk er energikrevende og kostbart, hovedsakelig på grunn av et betydelig behov for kunstig belysning og klimakontroll. Avanserte optimaliserings- og kontrollmetoder har et potensial til å løse disse ... -
Sustainable vertical farming: Energy assessment and cost-effective light schedules
Bae, Gjermund; Tiller, Jakob (Master thesis, 2024)Vertikalt landbruk er energikrevende og kostbart, hovedsakelig på grunn av et betydelig behov for kunstig belysning og klimakontroll. Avanserte optimaliserings- og kontrollmetoder har et potensial til å løse disse ...