Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis

doi:10.1109/TNNLS.2018.2890699

CASIA OpenIR > 离退休人员

	Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis
	Wang, Jianhui 1,2; Liu, Zhi 1; Zhang, Yun 1; Chen, C. L. Philip 3,4,5
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN	2162-237X
	2019-11-01
卷号	30 期号:11 页码:3300-3312
通讯作者	Liu, Zhi(lz@gdut.edu.cn)
摘要	In 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.
关键词	Actuators Hysteresis Nonlinear systems Artificial neural networks Adaptive systems Stochastic systems System performance Actuator failure adaptive control event-triggered neural networks (NNs) stochastic nonlinear systems unknown direction hysteresis
DOI	10.1109/TNNLS.2018.2890699
关键词[WOS]	ACTUATOR FAILURE COMPENSATION ; OUTPUT-FEEDBACK CONTROL ; NETWORKED SYSTEMS ; BACKSTEPPING CONTROL ; DELAY SYSTEMS ; DEAD-ZONE ; STABILIZATION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61573108] ; Natural Science Foundation of Guangdong Province[2016A030313715] ; Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme ; National Natural Science Foundation of China[61573108] ; Natural Science Foundation of Guangdong Province[2016A030313715] ; Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000494702100007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：84[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28859
专题	离退休人员
通讯作者	Liu, Zhi
作者单位	1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China 2.Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China 3.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 99999, Peoples R China 4.Dalian Maritime Univ, Maritime Coll, Dalian 116026, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
推荐引用方式 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.