DocumentCode :
441654
Title :
Adaptive Neural Network Control for SISO Nonlinear Systems Without Apriori Knowledge of Control Direction
Author :
Gu, Wen-Jin ; Jin, Yu-Qiang ; Xiao, Zhi-Cai ; Zhang, You-an
Author_Institution :
Department of Automatic Control, Naval Aeronautical Engineering Institute, 264001, Yantai, China
Volume :
1
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
623
Lastpage :
627
Abstract :
Adaptive neural network control is presented for a class of SISO nonlinear systems without a priori knowledge of control direction. A systematic procedure, which relaxes some rigorous restrictions on the plants in the literature at present stage, is developed based on Nussbaum-type function and RBF neural networks. The developed control scheme guarantees global stability of the closed-loop systems.
Keywords :
Nonlinear systems; adaptive control; neural networks; Adaptive control; Adaptive systems; Automatic control; Backstepping; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Stability; Nonlinear systems; adaptive control; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527019
Filename :
1527019
Link To Document :
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