Title :
Sliding mode control of nonlinear system based on neural networks
Author :
Hongli, Lei ; Dianzhi, Zhang ; Wenhua, Liu
Author_Institution :
Air Force Coll. of Eng., Xi´´an, China
Abstract :
In order to minimize the information needed from a plant, an adaptive sliding mode control scheme for a nonlinear plant without any model is proposed based on strong robust sliding mode control with the favorable approximation ability of basis function neural nets. The global stability of the control system is proved by theoretical analysis. Simulation shows the strong robustness and feasibility of the control scheme
Keywords :
adaptive control; asymptotic stability; neurocontrollers; nonlinear control systems; radial basis function networks; robust control; variable structure systems; adaptive sliding mode control scheme; approximation ability; basis function neural nets; global stability; strong robustness; Neural networks; Nonlinear systems; Sliding mode control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863376
