Robust control for the uncertain systems preceded by hysteresis and disturbances

Xinkai Chen, Takeshi Hisayama, Chun Yi Su

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

2 Citations (Scopus)

Abstract

This paper discusses the adaptive control for the uncertain discrete time linear systems preceded with hysteresis and disturbances. The contribution of the paper is the fusion of the hysteresis model with the adaptive control techniques without constructing the inverse hysteresis nonlinearity. The proposed scheme eliminates the traditional overparameterization by only adapting the parameters (which are generated from the parameters of the linear system and the density function of the hysteresis) directly needed in the formulation of the sliding mode controller. The stability in the sense that all signals in the loop remain bounded can be guaranteed. Furthermore, if the disturbance and reference signal are slow varying with respect to the sampling frequency, the output tracking error can be controlled to be as small as required by choosing the design parameters. Simulation results show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control
PublisherIEEE Computer Society
Pages395-400
Number of pages6
ISBN (Print)142440441X, 9781424404414
DOIs
Publication statusPublished - 2007
Event2007 IEEE 22nd International Symposium on Intelligent Control, ISIC 2007 - Singapore, Singapore
Duration: 2007 Oct 12007 Oct 3

Publication series

Name22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control

Conference

Conference2007 IEEE 22nd International Symposium on Intelligent Control, ISIC 2007
Country/TerritorySingapore
CitySingapore
Period07/10/107/10/3

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

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