Fuzzy sliding mode control of nonlinear system

Chen Sheng Ting, Tzuu Hseng S. Li, Fan Chu Kung

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)


The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

Original languageEnglish
Number of pages6
Publication statusPublished - 1994
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: 1994 Jun 261994 Jun 29


OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA

All Science Journal Classification (ASJC) codes

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


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