TY - GEN
T1 - On the persistency of excitation in fuzzy systems
AU - Chak, Ch K.
AU - Feng, G.
AU - Cao, S. G.
PY - 1996
Y1 - 1996
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/0030405339
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0030405339&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 2
SP - 824
EP - 827
BT - IEEE International Conference on Fuzzy Systems
T2 - Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
Y2 - 8 September 1996 through 11 September 1996
ER -