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