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Distributed H filtering over sensor networks with heterogeneous Markovian coupling intercommunication delays

机译:具有异构马尔可夫耦合互通延迟的传感器网络上的分布式 H 滤波

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This study is concerned with distributed filtering for continuous-time linear systems over sensor networks with heterogeneous Markovian coupling intercommunication delays. The set of sensor nodes forms a sensing and communication network whose topology is modelled by a directed graph that describes the measurement exchanged among neighbouring sensor nodes. Heterogeneous random coupling delays modelled by a Markov process are considered in the intercommunication between interacting sensor nodes. A refined two-step decoupling technique is presented to deal with the complicated coupling of exchanged measurement in the presence of the delays. A sufficient condition on the existence of desired distributed filters is derived such that the resultant filtering error system is mean square exponentially stable with prescribed weighting average performance. Two illustrative examples are given to show the effectiveness of the proposed results.
机译:这项研究涉及具有异构马尔可夫耦合互通延迟的传感器网络上连续时间线性系统的分布式滤波。传感器节点集形成一个传感和通信网络,其拓扑结构通过有向图建模,该有向图描述了相邻传感器节点之间交换的测量结果。在相互作用的传感器节点之间的互通中考虑了由马尔可夫过程建模的异构随机耦合延迟。提出了一种改进的两步解耦技术来处理在存在延迟的情况下交换测量的复杂耦合。得出关于期望的分布滤波器的存在的充分条件,使得所得的滤波误差系统是具有规定的加权平均性能的均方指数稳定的。给出两个说明性的例子来说明所提出的结果的有效性。

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