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Robust output feedback model predictive control for constrained linear systems via interval observers

Alex Reis de Souza 1 Denis Efimov 1 Tarek Raïssi 2, 3 Xubin Ping 4 Alex dos Reis de Souza 
1 VALSE - Finite-time control and estimation for distributed systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : This work addresses the problem of robust output feedback model predictive control for discrete-time, constrained linear systems corrupted by (bounded) state and measurement disturbances. Using the available information on measurements and uncertainty bounds, the objective is to stabilize such a system while robustly respecting the imposed constraints on state and control. To this end, interval observer and predictor with guaranteed performance are incorporated into the classic MPC scheme. This new approach offers advantages such as enlarged feasible regions for the optimal control problem, low computational burden, and ease of design.
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Contributor : Alex DOS REIS DE SOUZA Connect in order to contact the contributor
Submitted on : Friday, July 23, 2021 - 11:25:29 AM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM
Long-term archiving on: : Sunday, October 24, 2021 - 6:23:19 PM


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Alex Reis de Souza, Denis Efimov, Tarek Raïssi, Xubin Ping, Alex dos Reis de Souza. Robust output feedback model predictive control for constrained linear systems via interval observers. Automatica, Elsevier, 2021, 135, pp.109951. ⟨10.1016/j.automatica.2021.109951⟩. ⟨hal-03297175⟩



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