Title :
Indirect adaptive neural networks control for a class of nonlinear systems
Author :
Yang, Yuequan ; Zhang, Tianping ; Hu, Xuelong
Author_Institution :
Dept. of Comput., YangZhou Univ., China
Abstract :
Based on sliding mode control theory and approximation capability of multilayer neural networks (MNNs), a design scheme of a indirect robust adaptive controller for a class of nonlinear systems is proposed in this paper. The scheme guarantees the global stability of the closed-loop system while the closed-loop system tracking error converges to zero.
Keywords :
adaptive control; closed loop systems; control system synthesis; convergence; multilayer perceptrons; neurocontrollers; nonlinear control systems; robust control; variable structure systems; MNN; closed-loop system tracking error convergence; global stability; indirect adaptive neural networks control; indirect robust adaptive controller; multilayer neural networks; nonlinear systems; sliding mode control theory; Adaptive control; Adaptive systems; Control systems; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control; Sliding mode control;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022231
