Switching controller for fuzzy systems subject to unknown parameters: Analysis and design based on a linear matrix inequality (LMI) approach

H. K. Lam, Hung Fat Frank Leung, P. K S Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


This paper presents a switching control scheme for multivariable nonlinear systems. Based on a fuzzy plant model of the multivariable nonlinear system, a switching controller consisting of a number of simple sub-controllers is proposed. The parameters of the switching controller can be obtained by solving some LMIs. A switching algorithm is developed. To illustrate the merits and the design procedures of the proposed switching controller, an application example is given.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Number of pages5
Publication statusPublished - 1 Jan 2000
EventFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, United States
Duration: 7 May 200010 May 2000


ConferenceFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems
Country/TerritoryUnited States
CitySan Antonio, TX

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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