UM
Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems
Liu Y.-J.; Chen C.L.P.; Wen G.-X.; Tong S.
2011
Source PublicationIEEE Transactions on Neural Networks
ISSN10459227
Volume22Issue:7Pages:1162
AbstractThis brief studies an adaptive neural output feedback tracking control of uncertain nonlinear multi-input-multi-output (MIMO) systems in the discrete-time form. The considered MIMO systems are composed of n subsystems with the couplings of inputs and states among subsystems. In order to solve the noncausal problem and decouple the couplings, it needs to transform the systems into a predictor form. The higher order neural networks are utilized to approximate the desired controllers. By using Lyapunov analysis, it is proven that all the signals in the closed-loop system is the semi-globally uniformly ultimately bounded and the output errors converge to a compact set. In contrast to the existing results, the advantage of the scheme is that the number of the adjustable parameters is highly reduced. The effectiveness of the scheme is verified by a simulation example. © 2011 IEEE.
KeywordAdaptive control neural networks nonlinear multi-input-multi-output discrete-time systems output feedback control
DOI10.1109/TNN.2011.2146788
URLView the original
Language英语
The Source to ArticleScopus
Citation statistics
Cited Times [WOS]:243   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Liu Y.-J.,Chen C.L.P.,Wen G.-X.,et al. Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems[J]. IEEE Transactions on Neural Networks,2011,22(7):1162.
APA Liu Y.-J.,Chen C.L.P.,Wen G.-X.,&Tong S..(2011).Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems.IEEE Transactions on Neural Networks,22(7),1162.
MLA Liu Y.-J.,et al."Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems".IEEE Transactions on Neural Networks 22.7(2011):1162.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu Y.-J.]'s Articles
[Chen C.L.P.]'s Articles
[Wen G.-X.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu Y.-J.]'s Articles
[Chen C.L.P.]'s Articles
[Wen G.-X.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu Y.-J.]'s Articles
[Chen C.L.P.]'s Articles
[Wen G.-X.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.