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Neural network control-based adaptive learning design for nonlinear systems with full-state constraints
Liu Y.-J.; Li J.; Tong S.; Chen C.L.P.
2016
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN2162237X
Volume27Issue:7Pages:1562
AbstractIn order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state constraints, an adaptive neural network control method is investigated in this paper. The state constraints are frequently emerged in the real-life plants and how to avoid the violation of state constraints is an important task. By introducing a barrier Lyapunov function (BLF) to every step in a backstepping procedure, a novel adaptive backstepping design is well developed to ensure that the full-state constraints are not violated. At the same time, one remarkable feature is that the minimal learning parameters are employed in BLF backstepping design. By making use of Lyapunov analysis, we can prove that all the signals in the closed-loop system are semiglobal uniformly ultimately bounded and the output is well driven to follow the desired output. Finally, a simulation is given to verify the effectiveness of the method. © 2012 IEEE.
KeywordAdaptive neural control Barrier Lyapunov function (BLF) Full-state constraints Neural networks (NNs) Nonlinear systems
DOI10.1109/TNNLS.2015.2508926
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:179   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation
GB/T 7714
Liu Y.-J.,Li J.,Tong S.,et al. Neural network control-based adaptive learning design for nonlinear systems with full-state constraints[J]. IEEE Transactions on Neural Networks and Learning Systems,2016,27(7):1562.
APA Liu Y.-J.,Li J.,Tong S.,&Chen C.L.P..(2016).Neural network control-based adaptive learning design for nonlinear systems with full-state constraints.IEEE Transactions on Neural Networks and Learning Systems,27(7),1562.
MLA Liu Y.-J.,et al."Neural network control-based adaptive learning design for nonlinear systems with full-state constraints".IEEE Transactions on Neural Networks and Learning Systems 27.7(2016):1562.
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