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Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems
Liu, Yan-Jun; Tong, Shaocheng; Chen, C. L. Philip; Li, Dong-Juan
2017-11
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
Volume47Issue:11Pages:3747-3757
AbstractA neural network (NN) adaptive control design problem is addressed for a class of uncertain multi-input-multioutput (MIMO) nonlinear systems in block-triangular form. The considered systems contain uncertainty dynamics and their states are enforced to subject to bounded constraints as well as the couplings among various inputs and outputs are inserted in each subsystem. To stabilize this class of systems, a novel adaptive control strategy is constructively framed by using the backstepping design technique and NNs. The novel integral barrier Lyapunov functionals (BLFs) are employed to overcome the violation of the full state constraints. The proposed strategy can not only guarantee the boundedness of the closed-loop system and the outputs are driven to follow the reference signals, but also can ensure all the states to remain in the predefined compact sets. Moreover, the transformed constraints on the errors are used in the previous BLF, and accordingly it is required to determine clearly the bounds of the virtual controllers. Thus, it can relax the conservative limitations in the traditional BLF-based controls for the full state constraints. This conservatism can be solved in this paper and it is for the first time to control this class of MIMO systems with the full state constraints. The performance of the proposed control strategy can be verified through a simulation example.
KeywordAdaptive control barrier Lyapunov functionals (BLFs) neural network (NN) control uncertain nonlinear systems
DOI10.1109/TCYB.2016.2581173
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000413003100022
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
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Citation statistics
Cited Times [WOS]:42   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation
GB/T 7714
Liu, Yan-Jun,Tong, Shaocheng,Chen, C. L. Philip,et al. Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(11):3747-3757.
APA Liu, Yan-Jun,Tong, Shaocheng,Chen, C. L. Philip,&Li, Dong-Juan.(2017).Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems.IEEE TRANSACTIONS ON CYBERNETICS,47(11),3747-3757.
MLA Liu, Yan-Jun,et al."Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems".IEEE TRANSACTIONS ON CYBERNETICS 47.11(2017):3747-3757.
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