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Command Filter Based Adaptive Fuzzy Control for Stochastic Nonlinear Systems with Unknown Hysteresis

  • Harbin Institute of Technology

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

Abstract

This paper investigates the adaptive fuzzy backstepping control problem for a class of stochastic nonlinear systems with unknown actuator hysteresis. Considering the heavy computation burden by iterative derivatives of backsteping design technique, a command filter based control strategy with error compensating signals is proposed. The fuzzy logic systems (FLSs) are utilized to cope with the unknown uncertainties in this paper. In the end, the uniform ultimate boundedness of the closed-loop stochastic nonlinear system is obtained by Lyapunov stability theory. To verify the effectiveness of the proposed method, a simulation example is given.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages2164-2169
Number of pages6
ISBN (Electronic)9789881563903
DOIs
StatePublished - Jul 2020
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • Adaptive fuzzy control
  • Command filter
  • Stochastic nonlinear systems
  • Unknown hysteresis

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