Fuzzy controller with stability and performance rules for nonlinear systems

Research output: Journal article publicationJournal articleAcademic researchpeer-review

42 Citations (Scopus)


This paper presents a fuzzy controller which can be designed through two steps for nonlinear systems. The proposed fuzzy controller consists of two groups of fuzzy rules, namely the stability and performance rules. Stability conditions which involve the stability rules only will be derived to guarantee the system stability. By properly designing the shapes of the membership functions of the fuzzy controller, the stability conditions can be relaxed. The proposed fuzzy controller offers a property that the performance rules will not alter the system stability. This favorable property enables the performance rules to be designed freely to achieve the system performance without affecting the system stability. Consequently, the system stability and performance can be designed in two separate processes. An application example will be presented to show the merits of the proposed approach.
Original languageEnglish
Pages (from-to)147-163
Number of pages17
JournalFuzzy Sets and Systems
Issue number2
Publication statusPublished - 16 Jan 2007


  • Fuzzy control
  • Stability

ASJC Scopus subject areas

  • Statistics and Probability
  • Electrical and Electronic Engineering
  • Statistics, Probability and Uncertainty
  • Information Systems and Management
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Artificial Intelligence


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