Design of Lyapunov function based fuzzy logic controller for a class of discrete-time systems

Jeng Hann Li, Tzuu-Hseng S. Li, Chih Yang Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we present a new fuzzy logic controller (FLC) for discrete-time systems. All the decision rules of FLC are automatically generated by the Lyapunov stability criterion. The proposed control scheme can be easily derived with minimum information of the controlled plant. Furthermore, the fuzzy inference scheme can successfully be applied to stabilize the nonlinear discrete-time systems. We introduce three discrete-time systems, including a linear plant, a nonlinear plant, and a delayed plant, to demonstrate the effectiveness of the proposed FLC.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalInternational Journal of Fuzzy Systems
Volume9
Issue number1
Publication statusPublished - 2007 Mar 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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