Multi-objective Robust model predictive control: Trajectory tracking problem through LMI formulation

Le Feng, Jianliang Wang, Engkee Poh, Fang Liao

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

6 Citations (Scopus)

Abstract

This paper proposed a novel LMI based robust multi-objective model predictive control technique. Such technique can be used to solve a trajectory tracking problem. The system is supposed to have polytopic uncertainty and subjected to asymmetric input constraints. With the proposed approach, we can guarantee the closed-loop stability and zero steady state tracking error. Finally, a canonical numerical example is used to illustrate the effectiveness.

Original languageEnglish
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages5589-5594
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: 9 Jul 200713 Jul 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2007 American Control Conference, ACC
Country/TerritoryUnited States
CityNew York, NY
Period9/07/0713/07/07

Keywords

  • Asymmetric input constraints
  • H performance
  • H performance
  • Linear matrix inequality
  • Model predictive control
  • Multi-objective

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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