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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340707
