Identification of dynamic systems using recurrent fuzzy wavelet network

Authors:
Jun Wang;Hong Peng;Jian Xiao
Affiliations:
School of E1ectrical Information, School of Mathematics & Computer Science, Xihua University, Chengdu, Sichuan, China;School of E1ectrical Information, School of Mathematics & Computer Science, Xihua University, Chengdu, Sichuan, China;School of Electrical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

Citing 3
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Abstract

This paper proposes a dynamic recurrent fuzzy wavelet network (RCFWN) for identified nonlinear dynamic systems. Temporary relations are embedded in the network by adding feedback connections in the second layer of the fuzzy wavelet network. In addition, the study algorithm of the RCFWN is introduced and its stability analysis is studied. Finally, the RCFWN is applied in several simulations. The results verify the effectiveness of the RCFWN.