On the persistency of excitation in fuzzy 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 | 824-827 |
| Volume | 2 |
| Publication status | Published - 1996 |
| Externally published | Yes |
Publication series
| Name | |
|---|---|
| Volume | 2 |
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
Fuzzy systems have been developed for more than two decades. Recently there appeared a number of results of fuzzy systems regarding to modelling and identification. Making use of the property that the consequence parameters are linear in fuzzy systems, recursive least squares algorithms are commonly adopted for training or adaptation of fuzzy systems. The condition for convergence of the parameters requires that the regressor vector is persistently exciting. This paper aims to show persistency of excitation in fuzzy systems.
Citation Format(s)
On the persistency of excitation in fuzzy systems. / Chak, Ch K.; Feng, G.; Cao, S. G.
IEEE International Conference on Fuzzy Systems. Vol. 2 1996. p. 824-827.
IEEE International Conference on Fuzzy Systems. Vol. 2 1996. p. 824-827.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
