″Model-free″ stability analysis for continuous-time fuzzy control systems
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Fuzzy Systems |
| Pages | 1532-1538 |
| Volume | 3 |
| Publication status | Published - 1996 |
| Externally published | Yes |
Publication series
| Name | |
|---|---|
| Volume | 3 |
Conference
| Title | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| City | New Orleans, LA, USA |
| Period | 8 - 11 September 1996 |
Link(s)
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.
IEEE International Conference on Fuzzy Systems. Vol. 3 1996. p. 1532-1538.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
