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Conference Papers Year : 2014

Quasi Min-Max MPC Design for Constrained LPV Systems

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.
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Dates and versions

hal-01074663 , version 1 (15-10-2014)

Identifiers

  • HAL Id : hal-01074663 , version 1

Cite

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. ⟨hal-01074663⟩
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