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Adaptive NN control without feasibility conditions for nonlinear state constrained stochastic systems with unknown time delays
Li,Dapeng1; Liu,Lei2; Liu,Yan Jun2; Tong,Shaocheng2; Chen,C. L.Philip3,4,5
2019-12-01
Source PublicationIEEE Transactions on Cybernetics
ISSN2168-2267
Volume49Issue:12Pages:4485-4494
AbstractIn the novel, an adaptive neural network (NN) controller is developed for a category of nonlinear stochastic systems with full state constraints and unknown time delays. The control quality and system stability suffer from the problems of state time delays and constraints which frequently arises in most real plants. The considered systems are transformed into new constrained free systems based on nonlinear mappings, such that full state constraints are never violated and the feasibility conditions on virtual controllers (the values of virtual controllers and its derivative are assumed to be known) are removed. To compensate for unknown time delayed uncertainties, the exponential type Lyapunov-Krasovskii functionals (LKFs) are employed. NNs are utilized to approximate unknown nonlinear functions appearing in the design procedure. In addition, by employing dynamic surface control (DSC) technique and less adjustable parameters, the online computation burden is lightened. The control method presented can achieve the semiglobal uniform ultimate boundedness of all the closed-loop system signals and the satisfactions of full state constraints by rigorous proof. Finally, by presenting simulation examples, the efficiency of the presented approach is revealed.
KeywordAdaptive neural control full state constrained systems Lyapunov-Krasovskii functionals (LKFs) nonlinear mappings unknown time delays
DOI10.1109/TCYB.2019.2903869
URLView the original
Language英语
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Cited Times [WOS]:21   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Electrical Engineering,Liaoning University of Technology,Jinzhou,121001,China
2.College of Science,Liaoning University of Technology,Jinzhou,121001,China
3.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,999078,Macao
4.Navigation College,Dalian Maritime University,Dalian,116026,China
5.Unmanned System Research Institute,Northwestern Polytechnical University,Xi'an,710072,China
Recommended Citation
GB/T 7714
Li,Dapeng,Liu,Lei,Liu,Yan Jun,et al. Adaptive NN control without feasibility conditions for nonlinear state constrained stochastic systems with unknown time delays[J]. IEEE Transactions on Cybernetics,2019,49(12):4485-4494.
APA Li,Dapeng,Liu,Lei,Liu,Yan Jun,Tong,Shaocheng,&Chen,C. L.Philip.(2019).Adaptive NN control without feasibility conditions for nonlinear state constrained stochastic systems with unknown time delays.IEEE Transactions on Cybernetics,49(12),4485-4494.
MLA Li,Dapeng,et al."Adaptive NN control without feasibility conditions for nonlinear state constrained stochastic systems with unknown time delays".IEEE Transactions on Cybernetics 49.12(2019):4485-4494.
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