Stable adaptive control of fuzzy dynamic 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
This paper discusses fuzzy model reference adaptive control for a class of complex nonlinear systems. The complex system concerned is represented by a family of local transfer function models, which are smoothly connected together by fuzzy membership functions. The model reference adaptive control law is first designed in each local region and then constructed in global domain. It is shown that the resulting fuzzy adaptive control system is globally stable based on a suitable piecewise differentiable Lyapunov function (PDLF).
Citation Format(s)
Stable adaptive control of fuzzy dynamic systems. / Feng, G.; Cao, S. G.; Rees, N. W. et al.
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
