Skip to Main content Skip to Navigation
Conference papers

Robust Satisfaction of Nonlinear Requirements in Control Problems

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Guillaume Sandou Connect in order to contact the contributor
Submitted on : Monday, January 11, 2021 - 10:19:41 AM
Last modification on : Sunday, June 26, 2022 - 3:03:03 AM
Long-term archiving on: : Monday, April 12, 2021 - 6:31:52 PM


Robust Satisfaction of Nonline...
Files produced by the author(s)



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⟩



Record views


Files downloads