Multiple-event-triggered adaptive fuzzy output-feedback control for MIMO uncertain nonlinear systems  

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作  者:Shuai SUI Yu YANG Shaocheng TONG C.L.Philip CHEN 

机构地区:[1]School of Science,Liaoning University of Technology,Jinzhou 121001,China [2]School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,China

出  处:《Science China(Technological Sciences)》2025年第2期216-226,共11页中国科学(技术科学英文版)

基  金:supported by the National Natural Science Foundation of China(Grant Nos.62176111,62333004,62173172);the Excellent Young Scientists Fund Program(Overseas);the"Xingliao Talent Plan"for young top talents(Grant No.XLYC2203188).

摘  要:The article addresses the output-feedback control issue for a class of multi-input multi-output(MIMO)uncertain nonlinear systems with multiple event-triggered mechanisms(ETM).Compared to previous event-triggering studies,this paper aims to trigger both the output and filtered signals.Unknown nonlinear dynamics are approximated using fuzzy logic systems(FLSs).Then,a novel kind of state observer has been designed to deal with unmeasurable state problems using the triggered output signal.The sampled estimated state,the triggered output signal,and the filtered signal are utilized to propose an event-triggering mechanism that consists of sensor-to-observer(SO)and observer-to-controller(OC).An event-triggered output feedback control approach is given inside backstepping control,whereby the filter may be employed to circumvent the issue of the virtual control function not being differentiable at the trigger time.It is testified that,according to the Lyapunov stability analysis scheme,all closed-loop signals and the system output are ultimately uniformly constrained by our control method.Finally,the simulation examples are performed to confirm the theoretical findings.

关 键 词:event-triggered control(ETC) dynamic surface control(DSC) output-feedback control fuzzy adaptive control 

分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]

 

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