Adaptive switching control of a class of nonlinear systems based on multiple models

Yan Xia Zhang*

*Corresponding author for this work

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

Abstract

The transient behaviors of traditional adaptive control may be very poor in general. A practically feasible approach to improve the transient performances is the adoption of adaptive switching control. For a typical class of nonlinear systems disturbed by random noises, we applied the idea of mixed multiple models consisting of adaptive model and fixed models to design the switching control law. Under certain assumptions, we proved rigorously the stability and optimality of the nonlinear system with the switching control law. A simulation example was provided to compare the performances of the switching control and the traditional adaptive control.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages3027-3030
Number of pages4
Publication statusPublished - 2012
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • Adaptive control
  • multiple models
  • nonlinear systems
  • switching control

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