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Adaptive fuzzy control of a class of pure-feedback nonlinear systems by output feedback

  • Harbin Institute of Technology
  • Harbin University of Science and Technology

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

Abstract

In this paper, adaptive fuzzy control is proposed for a class of nonlinear pure-feedback systems. Fuzzy logic systems are introduced to approximate the unknown nonlinear functions. The filtered signals are utilized to solve the algebraic loop problems encountered in the implementation of the usual controllers. Based on a newly developed approach that the observer gains can be assigned in an iterative manner the observer gains were obtained.An adaptive fuzzy output feedback backstepping control method is developed via the adaptive backstepping design. By employing Lyapunov synthesis, all the signals of the resulting closed-loop system are proven to be uniformly ultimately bounded by choosing the design parameters appropriately. Simulation results are provided to show show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages3519-3524
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

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

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Adaptive backstepping control
  • Fuzzy logic systems
  • Fuzzy state observer
  • Pure-feedback systems

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