On Infinite Time Performance of Nonlinear Model Predictive Controllers

Xin Cai, Shaoyuan Li, Ning Li, Kang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal performance limits of closed-loop model predictive control systems. Based on the Principle of Optimality, an upper and a lower bound of the ratio between the total performance and the finite horizon optimal cost are obtained explicitly expressed by the optimization horizon. The results also illustrate, from viewpoint of performance, how model predictive controllers approaches to infinite optimal controllers as the optimization horizon increases.
Original languageEnglish
Title of host publicationProceedings of the 19th IFAC World Congress, 2014
PublisherInternational Federation of Automatic Control
Pages1916-1921
Number of pages6
Volume19
ISBN (Print)9783902823625
DOIs
Publication statusPublished - 29 Aug 2014
Event19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Publication series

NameWorld Congress
PublisherInternational Federation of Automatic Control
NumberPart 1
Volume19
ISSN (Electronic)1474-6670

Conference

Conference19th World Congress of the International Federation of Automatic Control (IFAC 2014)
CountrySouth Africa
CityCape Town
Period24/08/201429/08/2014

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