This paper examines the stabilization problem of a distributed networked control system under the effect of cyber-attacks by employing a hybrid aperiodic triggering mechanism. The cyber-attack considered in the paper is a stochastic deception attack at the sensor-controller end. The probability of the occurrence of attack on a subsystem is represented using a random variable. A decentralized hybrid sampled-data strategy is introduced to save energy consumption and reduce the transmission load of the network. In the proposed decentralized strategy, each subsystem can decide independently whether its state should be transmitted to the controller or not. The scheme of the hybrid triggering mechanism for each subsystem composed of two stages: In the first stage, the next sampling instant is computed using a self-triggering strategy. Subsequently, in the second stage, an event-triggering condition is checked at these sampling instants and the control signal is computed only if the event-triggering condition is violated. The self-triggering condition used in the first stage is dependent on the selection of event-triggering condition of the second stage. Finally, a comparison of the proposed approach with other triggering mechanisms existing in the literature is presented in terms of the sampling instants, transmission frequency and performance measures through simulation examples.

中文翻译：

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随机网络攻击下分布式网络控制系统的非周期性采样数据控制

本文研究了一种混合非周期性触发机制，在网络攻击的影响下，研究了分布式网络控制系统的稳定性问题。本文中考虑的网络攻击是传感器控制器端的随机欺骗攻击。使用随机变量表示发生子系统攻击的可能性。提出了一种分散式混合采样数据策略，以节省能耗并减少网络的传输负载。在提出的分散策略中，每个子系统可以独立决定是否将其状态传输到控制器。每个子系统的混合触发机制的方案包括两个阶段：在第一阶段，使用自触发策略计算下一个采样时刻。后来，在第二阶段中，在这些采样时刻检查事件触发条件，并且仅在违反事件触发条件时才计算控制信号。在第一阶段中使用的自触发条件取决于第二阶段中事件触发条件的选择。最后，通过仿真实例，从采样时刻，传输频率和性能指标等方面对所提方法与文献中现有的其他触发机制进行了比较。