MIMO robust control via T-S fuzzy models for nonaffine nonlinear systems

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

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

5 Citations (Scopus)

Abstract

This paper proposes on-line modeling via Takagi-Sugeno (T-S) fuzzy models and robust adaptive control for a class of generalized multiple input multiple output (MIMO) nonlinear dynamic systems with external disturbances. The T-S fuzzy model is established to approximate the nonaffine nonlinear dynamic system in a linearized way and is used to be an error compensator for external disturbances and system uncertainly, i.e. the unmodeled dynamics, modeling errors and external disturbances. In second type adaptive laws, fuzzy B-spline membership functions (BMFs) are developed for on-line tuning. In this paper, we can prove that the closed-loop system which is controlled by the proposed controller is stable and the tracking error will converge to zero.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Fuzzy Systems, FUZZY
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom
Duration: 2007 Jul 232007 Jul 26

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2007 IEEE International Conference on Fuzzy Systems, FUZZY
CountryUnited Kingdom
CityLondon
Period07/7/2307/7/26

Keywords

  • MIMO
  • Nonaffine nonlinear systems
  • T-S fuzzy model

ASJC Scopus subject areas

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

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  • Cite this

    Wang, W. Y., Chien, L. C., Li, I. H., & Su, S. F. (2007). MIMO robust control via T-S fuzzy models for nonaffine nonlinear systems. In 2007 IEEE International Conference on Fuzzy Systems, FUZZY [4295408] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2007.4295408