″Model-free″ stability analysis for continuous-time fuzzy control systems

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages1532-1538
Volume3
Publication statusPublished - 1996
Externally publishedYes

Publication series

Name
Volume3

Conference

TitleProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
CityNew Orleans, LA, USA
Period8 - 11 September 1996

Abstract

The essential characteristics of fuzzy logic control are analyzed in this paper. The locality of fuzzy control and the interpolation among fuzzy rules may be the most important characteristics of fuzzy control systems. Based on these two characteristics a new Lyapunov-like stability analysis approach is developed for both Mamdani and Takagi-Sugeno type fuzzy control systems. In this approach we apply the theory of generalized dynamical systems. Thus, the method can be used for both model-free and model-based fuzzy controller designs.

Citation Format(s)

″Model-free″ stability analysis for continuous-time fuzzy control systems. / Cao, S. G.; Rees, N. W.; Feng, G.

IEEE International Conference on Fuzzy Systems. Vol. 3 1996. p. 1532-1538.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review