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Event-triggered distributed H filtering for networked systems with switching topologies

机译:具有切换拓扑的网络系统的事件触发分布式H 过滤

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This paper deals with the event-triggered distributed H filtering for a class of networked systems with sensor networks. The topology of the sensor network is supposed to be time-varying. Whether or not a sampled data packet of a sensor node should be transmitted to its neighbors is determined by a predefined event-triggering condition, which closely depends on the variation of the sensor network topology. By modelling the filtering error system as a switched linear system with time-varying delays, a bounded real lemma (BRL) is derived using Lyapunov-Krasovskii functional approach. Based on the BRL, a sufficient condition on the existence of desired H filters is obtained in terms of linear matrix inequalities. An algorithm to the design of both filter parameters and event-triggering parameters is given. It is shown through a numerical example that the proposed method can not only save significantly precious communication resources, and maintain some certain system performance as well.
机译:本文涉及一类带有传感器网络的联网系统的事件触发的分布式H滤波。传感器网络的拓扑应该随时间变化。传感器节点的采样数据包是否应发送到其邻居取决于预定义的事件触发条件,该条件密切取决于传感器网络拓扑的变化。通过将滤波误差系统建模为具有时变时滞的切换线性系统,使用Lyapunov-Krasovskii函数方法导出有界实数引理(BRL)。基于BRL,就线性矩阵不等式而言,获得了关于所需H滤波器存在的充分条件。给出了滤波器参数和事件触发参数的设计算法。通过数值算例表明,该方法不仅可以节省大量宝贵的通信资源,还可以保持一定的系统性能。

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