Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems

Yongchao Liu; Qidan Zhu; Xing Fan

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Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems

机译：Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems

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摘要

This paper develops an event-triggered adaptive fuzzy control (AFC) scheme for stochastic nonlinear time-delay systems. With the aid of event-triggered mechanism, the salient superiority is to reduce the data transmission and communication burden. By virtue of Lyapunov-Krasovskii function, the time-delay term is effectively addressed. The fuzzy logic systems are exploited to model system uncertainties, meanwhile the norm of fuzzy weight vector is taken as estimation, which simplifies controller complexity. The devised AFC method can not only surmount the adverse influence deriving from time-delay, but also save network and communication resource. Finally, simulation results substantiate the validity of the designed control scheme.

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来源
《Fuzzy sets and systems》 |2023年第10期|42-60|共19页
作者
Yongchao Liu; Qidan Zhu; Xing Fan;
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作者单位

Institute of Complexity Science, School of Automation, Qingdao University, Qingdao, 266071, China, Shandong Key Laboratory of Industrial Control Technology, Qingdao, 266071, China;

College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China;

Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang, 621000, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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关键词
Stochastic systems; Event-triggered mechanism; Adaptive control; Time-delay;

Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems

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