Zhao Ying, Gao Yuxuan, Sang Hong, Fu Jun, Li Yuzhe
IEEE Trans Neural Netw Learn Syst. 2024 Dec;35(12):17688-17700. doi: 10.1109/TNNLS.2023.3307389. Epub 2024 Dec 2.
In this article, a dynamic event-triggered adaptive antidisturbance (ETAAD) switching control strategy is proposed for switched systems subject to multisource disturbances. The disturbances are divided into two categories: the available unmodeled disturbance and the unavailable dynamic neural network modeled disturbance. First, a dynamic ET criterion is set based on the system state. Then, a novel dynamic ETA disturbance estimator is introduced to observe the modeled disturbance. Furthermore, according to the ET rule and adaptive disturbance observer, a switched controller is designed. Next, under the controller and switching criterion with the average dwell time limitation, sufficient conditions are given to force the switched systems to realize multisource disturbance suppression (DS), trajectory tracking, and communication resource (CR) saving simultaneously. Meanwhile, the Zeno phenomenon may be caused by the ET rule being excluded. In addition, the presented ETAAD approach is also applicable to the nonswitched systems case. Finally, a simulation case is given to validate the effectiveness of the dynamic ETAAD switching control method.
本文针对受多源干扰的切换系统，提出了一种动态事件触发自适应抗干扰（ETAAD）切换控制策略。干扰分为两类：可利用的未建模干扰和不可利用的动态神经网络建模干扰。首先，基于系统状态设置一个动态事件触发准则。然后，引入一种新型的动态ETA干扰估计器来观测建模干扰。此外，根据事件触发规则和自适应干扰观测器，设计了一个切换控制器。接下来，在具有平均驻留时间限制的控制器和切换准则下，给出了充分条件，以使切换系统同时实现多源干扰抑制（DS）、轨迹跟踪和通信资源（CR）节省。同时，事件触发规则可能会导致芝诺现象被排除。此外，所提出的ETAAD方法也适用于非切换系统情况。最后，给出了一个仿真案例来验证动态ETAAD切换控制方法的有效性。
