Abstract : This paper proposes a novel model predictive controller for polytopic linear parameter-varying (LPV) discrete-time systems with state and control constraints. It is assumed that the time-varying parameters are measured online, but their future behavior is uncertain and contained in a given polytope. The main idea is to use an interpolation technique to obtain a suitable terminal constrained set and suitable terminal cost together with one-step model predictive controller. At each time instant a quadratic programming problem is solved on-line. Proofs recursive feasibility and asymptotic stability are given.
Type de document :
Communication dans un congrès
2014 IEEE Multi-conference on Systems and Control, Oct 2014, Antibes, France. pp.1406-1411, 2014
https://hal-supelec.archives-ouvertes.fr/hal-01074663
Contributeur : Myriam Andrieux
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Soumis le : mercredi 15 octobre 2014 - 10:21:35
Dernière modification le : jeudi 29 mars 2018 - 11:06:03
Hoaï-Nam Nguyen, Romain Bourdais. Quasi Min-Max MPC Design for Constrained LPV Systems. 2014 IEEE Multi-conference on Systems and Control, Oct 2014, Antibes, France. pp.1406-1411, 2014. 〈hal-01074663〉
