| Title: |
Guaranteed Self‐Triggered Control of Disturbed Systems: A Set Invariance Approach |
| Authors: |
Pouthier, Florian; Durand, Sylvain; Marchand, Nicolas; Dumon, Jonathan; Ndoye, Abdoullah; Nègre, Amaury; Susbielle, Pierre; Castillo-Zamora, Jose; Guerrero Castellanos, J. Fermi; Ruffier, Franck |
| Contributors: |
Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube); École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Hôpitaux Universitaires de Strasbourg (HUS)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE); Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique; Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS); GIPSA - COntrol, PErception, Robots, navigation and Intelligent Computing (GIPSA-COPERNIC); GIPSA Pôle Sciences des Données (GIPSA-PSD); Grenoble Images Parole Signal Automatique (GIPSA-lab); Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab); Université Grenoble Alpes (UGA); GIPSA-Services (GIPSA-Services); Institut des Sciences du Mouvement Etienne Jules Marey (ISM); Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS); Benemérita Universidad Autónoma de Puebla (BUAP); ANR-20-CE33-0009,Dark-NAV,Navigation sans GPS en environnement sombre au moyen de flashs apériodiques de photo-localisation(2020) |
| Source: |
ISSN: 1049-8923. |
| Publisher Information: |
CCSD; Wiley |
| Publication Year: |
2025 |
| Collection: |
Université Grenoble Alpes: HAL |
| Subject Terms: |
Linear systems; Robust positively invariance; Sparse measurements; Self-triggered control; [SPI.AUTO]Engineering Sciences [physics]/Automatic |
| Description: |
International audience ; This article introduces a novel self‐triggering strategy designed to ensure the control of discrete‐time linear systems with guaranteed stability, even in the presence of disturbances and uncertainties. This strategy aims to consistently maintain satisfaction of state constraints while accounting for the uncertainties in the system through a set‐membership description. The self‐triggering framework primarily relies on reachable and invariant sets. Reachable sets quantify the maximum deviation of the disturbed system from the predicted behavior, while an invariant set establishes triggering bounds for these reachable sets. This control method is intended to minimize the number of measurements required, thereby avoiding network bandwidth saturation. To validate the effectiveness of the proposed strategy, the experiments are conducted on an air extractor system, demonstrating a reduction in the number of measurement samples while ensuring stability and satisfying system state constraints. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1002/rnc.8060 |
| Availability: |
https://hal.science/hal-05105420; https://hal.science/hal-05105420v1/document; https://hal.science/hal-05105420v1/file/main-9.pdf; https://doi.org/10.1002/rnc.8060 |
| Rights: |
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.1E82AEB3 |
| Database: |
BASE |