Quasi-min-max model predictive control for constrained LPV systems

H. N. Nguyen, R. Bourdais

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1406-1411
Number of pages6
ISBN (Electronic)9781479974092
DOIs
Publication statusPublished - 9 Dec 2014
Externally publishedYes
Event2014 IEEE Conference on Control Applications, CCA 2014 - Juan Les Antibes, France
Duration: 8 Oct 201410 Oct 2014

Publication series

Name2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014

Conference

Conference2014 IEEE Conference on Control Applications, CCA 2014
Country/TerritoryFrance
CityJuan Les Antibes
Period8/10/1410/10/14

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