DocumentCode
420673
Title
The study on control strategy of nonlinear systems based on neural networks
Author
Wang, Yanqiu ; Gu, Shusheng ; Wang, Jianhui ; Lian, Liyan
Author_Institution
Inf. Sci. & Eng. Fac., Northeast Univ., Shenyang, China
Volume
1
fYear
2004
fDate
15-19 June 2004
Firstpage
847
Abstract
Based on the Lyapunov function and the approximation capability of neural networks, a design scheme of BP neural networks for a class of nonlinear systems is proposed in this paper. The scheme guarantees the stability and robust of the nonlinear systems. Simulation illustrates the effectiveness of the proposed approach.
Keywords
Lyapunov methods; approximation theory; backpropagation; control system synthesis; neurocontrollers; nonlinear control systems; robust control; BP neural networks; Lyapunov function; approximation theory; nonlinear control systems; robust control; stability; Control systems; Information science; Lyapunov method; Neural networks; Nonlinear control systems; Nonlinear systems; Robust stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340707
Filename
1340707
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