控制理论(社会学)
控制器(灌溉)
计算机科学
非线性系统
服务拒绝攻击
模糊逻辑
控制(管理)
人工智能
物理
互联网
量子力学
万维网
农学
生物
作者
Fenglan Wang,Lijun Long
标识
DOI:10.1109/tcyb.2023.3241396
摘要
A dual event-triggered adaptive fuzzy resilient control scheme for a class of switched nonlinear systems with vanishing control gains under mixed attacks is proposed in this article. The scheme proposed achieves dual triggering in the channels of sensor-to-controller and controller-to-actuator by designing two new switching dynamic event-triggering mechanisms (ETMs). An adjustable positive lower bound of interevent times for each ETM is found to preclude Zeno behavior. Meanwhile, mixed attacks, that is, deception attacks on sampled state and controller data and dual random denial-of-service attacks on sampled switching signal data, are handled by constructing event-triggered adaptive fuzzy resilient controllers of subsystems. Compared with the existing works for switched systems with only single triggering, more complex asynchronous switching caused by dual triggering and mixed attacks and subsystem switching is addressed. Further, the obstacle caused by vanishing control gains at some points is eliminated by proposing an event-triggered state-dependent switching law and introducing vanishing control gains into a switching dynamic ETM. Finally, a mass–spring–damper system and a switched RLC circuit system are applied to verify the obtained result.
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