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Observer-based adaptive fuzzy output feedback control for uncertain nonlinear systems with constrained output

  • Anqing Wang
  • , Lu Liu
  • , Jianbin Qiu*
  • , Gang Feng
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • City University of Hong Kong

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

Abstract

In this paper, we study the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback nonlinear systems with output constraint. The case of asymmetric and time-varying output constraint together with unmeasurable states is considered. By integrating the barrier Lyapunov function (BLF) approach and the fuzzy approximation technique, we show that the output constrained adaptive fuzzy output feedback control problem for a class of uncertain nonlinear systems can be solved. Finally, the effectiveness of the main result is demonstrated by simulation studies of a one-link manipulator system.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2933-2938
Number of pages6
ISBN (Electronic)9781728145693
DOIs
StatePublished - Oct 2019
Event2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy
Duration: 6 Oct 20199 Oct 2019

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2019-October
ISSN (Print)1062-922X

Conference

Conference2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country/TerritoryItaly
CityBari
Period6/10/199/10/19

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