Design of observer-based integral adaptive fuzzy sliding mode controllers for a class of uncertain nonlinear systems

Kai Shiuan Shih, Tzuu Hseng S. Li

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

1 Citation (Scopus)

Abstract

The observer-based integral adaptive fuzzy sliding mode controllers are developed for a class of uncertain nonlinear systems. By designing the state observer, the fuzzy systems, which are used to approach any unknown functions, it can be constructed using the state observer-based estimations. Based on Lyapunov stability theorem, the proposed integral adaptive fuzzy sliding mode control system can guarantee the stability of the whole closed-loop systems and obtain good tracking performance as well. The proposed methods are applied to an inverted pendulum system achieve satisfactory simulation results.

Original languageEnglish
Title of host publicationProceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Pages1051-1056
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States
Duration: 2009 Oct 112009 Oct 14

Publication series

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

Other

Other2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/TerritoryUnited States
CitySan Antonio, TX
Period09-10-1109-10-14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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