Robust fuzzy-model-based controller for uncertain systems

Wook Chang, Young Hoon Joo, Jin Bae Park, Guanrong Chen

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

This paper addresses the analysis and design of fuzzy control systems for a class of complex uncertain single input single output nonlinear systems. In the design procedure, we represent the nonlinear system using a Takagi-Sugeno fuzzy model and construct a global fuzzy logic controller by blending all local state feedback controllers with a sliding mode controller. Unlike the commonly used parallel distributed compensation technique, we can design a global stable fuzzy controller without finding a common Lyapunov function for all local control systems, and can obtain a good tracking performance. Furthermore, a stability analysis is carried out not for the fuzzy model but for a real nonlinear system with uncertainties. One simulation example is given to show the effectiveness and feasibility of the proposed fuzzy controller design method.

Original languageEnglish
PagesI-486 - I-491
Publication statusPublished - 1999 Dec 1
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: 1999 Aug 221999 Aug 25

Other

OtherProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period99/8/2299/8/25

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Chang, W., Joo, Y. H., Park, J. B., & Chen, G. (1999). Robust fuzzy-model-based controller for uncertain systems. I-486 - I-491. Paper presented at Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99, Seoul, South Korea, .