Robust Satisfaction of Nonlinear Requirements in Control Problems - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

Robust Satisfaction of Nonlinear Requirements in Control Problems

(1, 2) , (2) , (1) , (1)
1
2

Abstract

Industrial framework needs methods to take into account complex and non-differentiable requirements given by customers directly in control design for disturbed systems. The aim of this paper is to take into account any evaluable requirements in the design of control laws for systems subject to additive disturbances. To achieve this goal, Barrier Model Predictive Control and invariant set theory are used. It allows considering state and input constraints and also to improve robustness with regard to disturbances.
Fichier principal
Vignette du fichier
Robust Satisfaction of Nonlinear Requirements in Control Problems.pdf (306.46 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03105479 , version 1 (11-01-2021)

Identifiers

Cite

Maxime Pouilly-Cathelain, Philippe Feyel, Gilles Duc, Guillaume Sandou. Robust Satisfaction of Nonlinear Requirements in Control Problems. 59th IEEE Conference on Decision and Control, Dec 2020, Jegu Island (virtual), South Korea. ⟨10.1109/CDC42340.2020.9304116⟩. ⟨hal-03105479⟩
39 View
74 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More