'Model-free' stability analysis for discrete - time fuzzy control systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 2355-3592 |
| Journal / Publication | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 3 |
| Publication status | Published - 1996 |
| Externally published | Yes |
Conference
| Title | Proceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) |
|---|---|
| City | Kobe, Jpn |
| Period | 11 - 13 December 1996 |
Link(s)
Abstract
The Lyapunov-like stability theorems for discrete-time fuzzy control systems are given in this paper. The stability theorems show that if the fuzzy system can be locally stabilized on every local region, under some boundary conditions the fuzzy system can also be globally stabilized. In this stability approach we apply motions of the system instead of difference equation of the system. Thus, the method can be used for both model-free and model-based fuzzy controller designs.
Citation Format(s)
'Model-free' stability analysis for discrete - time fuzzy control systems. / Cao, S. G.; Rees, N. W.; Feng, G.
In: Proceedings of the IEEE Conference on Decision and Control, Vol. 3, 1996, p. 2355-3592.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review
