A performance approach to fuzzy control design for nonlinear systems

Zong Mu Yeh*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to reduce the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.

Original languageEnglish
Pages (from-to)339-352
Number of pages14
JournalFuzzy Sets and Systems
Issue number3
Publication statusPublished - 1994 Jun 24


  • Fuzzy control
  • adaptive control
  • inverted pendulum

ASJC Scopus subject areas

  • Logic
  • Artificial Intelligence


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