DocumentCode
478228
Title
System Identification with Delayed Neural Network
Author
Wang, Pu ; Wu, Xueli ; Wang, Bin ; Zhang, Jianhua
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
530
Lastpage
534
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 in adaptive method.
Keywords
delays; identification; neural nets; nonlinear systems; stability; time-varying systems; Lyapunov-Krasovskii approach; adaptive method; delayed dynamic neural network; delayed neural network; dynamic series-parallel structure; system identification; time-varying delay nonlinear system; Adaptive systems; Asymptotic stability; Cellular neural networks; Computer networks; Delay systems; Error correction; Neural networks; Nonlinear dynamical systems; Nonlinear systems; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.539
Filename
4667195
Link To Document