T-S fuzzy control for uncertain nonlinear systems using adaptive fuzzy approach

Li Hsuan Chien, Wei-Yen Wang, I. Hsum Li, Shun Feng Su

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

9 Citations (Scopus)

Abstract

This paper proposes on-line modeling via Takagi-Sugeno (T-S) fuzzy models and robust adaptive control for a class of unknown nonlinear dynamic systems with external disturbances. The T-S fuzzy model is established to approximate an unknown nonlinear dynamic system in a linearized way. Fuzzy B-spline membership functions (BMFs) which possesses a fixed number of control points are developed for on-line tuning. In this paper, the closed-loop system which is controlled by the proposed controller can be stabilized and the tracking error will converge to zero. An example is simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages800-805
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
Duration: 2006 Jul 162006 Jul 21

Other

Other2006 IEEE International Conference on Fuzzy Systems
CountryCanada
CityVancouver, BC
Period06/7/1606/7/21

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Chien, L. H., Wang, W-Y., Li, I. H., & Su, S. F. (2006). T-S fuzzy control for uncertain nonlinear systems using adaptive fuzzy approach. In 2006 IEEE International Conference on Fuzzy Systems (pp. 800-805). [1681802] https://doi.org/10.1109/FUZZY.2006.1681802