DocumentCode
2668738
Title
Nonlinear system identification with delayed neural network
Author
Jianhua, Zhang ; Huiguang, Li ; Xueli, Wu ; Xinping, Guan
Author_Institution
Yanshan Univ., Qinhuangdao
fYear
2008
fDate
16-18 July 2008
Firstpage
717
Lastpage
720
Abstract
In this brief, the identification problem for time-varying delay nonlinear system is discussed. We use a delayed dynamic neural network to do on-line identification. This neural network has dynamic series-parallel structure. The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach. The weights of the delayed neural network are updated by the identification error.
Keywords
Lyapunov methods; delays; identification; neural nets; nonlinear control systems; time-varying systems; Lyapunov-Krasovskii approach; delayed dynamic neural network; dynamic series-parallel structure; nonlinear system identification; time-varying delay nonlinear system; Asymptotic stability; Cellular neural networks; Control systems; Delay systems; Error correction; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Time varying systems; Delay; Identification; Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605659
Filename
4605659
Link To Document