Adaptive feedback control for a class of uncertain nonlinear systems with dead-zone

Mou Chen, Rong Mei, Wen Hua Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, a robust adaptive feedback controller is proposed based on backstepping method and neural network for a class of uncertain nonlinear systems with deadzone. The subsystem uncertainty is approximated using radial basis function (RBF) neural network and weight value update law is given for approximating the subsystem uncertainty. Based on the output of the neural network, the robust adaptive control scheme is presented with backstepping method. The designed controller can not only guarantee robust stability of the uncertain nonlinear system, but also make it has L2-gain performance index which less than or equal to γ > 0.

Original languageEnglish
Title of host publication3rd International Conference on Innovative Computing Information and Control, ICICIC'08
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning, China
Duration: 18 Jun 200820 Jun 2008

Publication series

Name3rd International Conference on Innovative Computing Information and Control, ICICIC'08

Conference

Conference3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Country/TerritoryChina
CityDalian, Liaoning
Period18/06/0820/06/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Control and Systems Engineering

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