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传感器网络中时变系统的分布式鲁棒滤波,采用轮询/随机协议。

Distributed resilient filtering for time-varying systems over sensor networks subject to Round-Robin/stochastic protocol.

机构信息

Key Laboratory of Unconventional Oil & Gas Development (MOE), College of Information and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China.

College of Information and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China.

出版信息

ISA Trans. 2019 Apr;87:55-67. doi: 10.1016/j.isatra.2018.11.012. Epub 2018 Nov 19.

DOI:10.1016/j.isatra.2018.11.012
PMID:30528124
Abstract

This paper is concerned with the distributed resilient filtering for nonlinear time-varying systems over sensor networks with communication protocol constraints. In order to prevent data collisions over sensor networks, the data transmission between each node and its neighboring ones is realized through the Round-Robin/stochastic protocol, which guarantee that only one neighboring node is permitted to send message at each transmission instant. Moreover, the resilient filter is designed to suppress the adverse effects induced by imprecision of filter parameters. By means of the stochastic analysis approach and recursive linear matrix inequality technique, several sufficient conditions are established to ensure that the state estimation error system subject to communication protocols satisfies the prescribed H performance constraint over a finite-horizon. Finally, a numerical example is presented to show the feasibility and effectiveness of the proposed results.

摘要

本文研究了传感器网络中具有通信协议约束的非线性时变系统的分布式鲁棒滤波问题。为了防止传感器网络中的数据冲突,通过轮询/随机协议实现了每个节点与其相邻节点之间的数据传输,该协议保证在每个传输瞬间只允许一个相邻节点发送消息。此外,设计了鲁棒滤波器以抑制滤波器参数不精确所引起的不利影响。利用随机分析方法和递推线性矩阵不等式技术,建立了几个充分条件,以确保在有限时域内,满足通信协议的状态估计误差系统满足规定的 H 性能约束。最后,通过一个数值实例验证了所提出结果的可行性和有效性。

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