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Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems with Unknown Hysteresis
Wang,Jianhui1,2; Liu,Zhi1; Zhang,Yun1; Chen,C. L.Philip3,4,5
2019-11-01
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN2162-237X
Volume30Issue:11Pages:3300-3312
AbstractIn this paper, the uncertain direct of the hysteretic system component will be considered. Besides, the effect of stochastic disturbance inevitably exists in many practical systems, which would cause the instability. Simultaneously, it is significant to guarantee the perfect error tracking performance for the uncertain nonlinear hysteresis systems when operation suffers the failure. To ensure the maintaining acceptable system performance in reality, the new properties of the Nussbaum function are proposed, and an auxiliary virtual controller is designed through the neural network (NN) universal approximator. Furthermore, it is challenged to save the system-limited transmutation resource for nonlinear systems, especially for stochastic nonlinear systems, with unknown hysteresis input and actuator failures. The coupling effect of the system communication resource constrains has to arise the issue of the mutual coupling function, which makes that the tracking control design is more complicated. Using the proposed event-triggered controller and back-stepping technology, a new optimization algorithm is proposed to ensure that the states of the closed-loop system and the tracking error remain bounded in probability. Finally, to illustrate the effectiveness of our proposed adaptive NN control method with the event-triggered strategy, some numerical examples are provided.
KeywordActuator failure adaptive control event-triggered neural networks (NNs) stochastic nonlinear systems unknown direction hysteresis
DOI10.1109/TNNLS.2018.2890699
URLView the original
Language英语
Scopus ID2-s2.0-85060917949
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Cited Times [WOS]:35   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorLiu,Zhi
Affiliation1.School of Automation,Guangdong University of Technology,Guangzhou,510006,China
2.School of Mechanical and Electric Engineering,Guangzhou University,Guangzhou,510006,China
3.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,Macau,99999,Macao
4.Maritime College,Dalian Maritime University,Dalian,116026,China
5.State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing,100080,China
Recommended Citation
GB/T 7714
Wang,Jianhui,Liu,Zhi,Zhang,Yun,et al. Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems with Unknown Hysteresis[J]. IEEE Transactions on Neural Networks and Learning Systems,2019,30(11):3300-3312.
APA Wang,Jianhui,Liu,Zhi,Zhang,Yun,&Chen,C. L.Philip.(2019).Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems with Unknown Hysteresis.IEEE Transactions on Neural Networks and Learning Systems,30(11),3300-3312.
MLA Wang,Jianhui,et al."Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems with Unknown Hysteresis".IEEE Transactions on Neural Networks and Learning Systems 30.11(2019):3300-3312.
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