文献类型：期刊文献

英文题名：Distributed H∞ State Estimation for a Class of Filtering Networks With Time-Varying Switching Topologies and Packet Losses

作者：Yan, Huaicheng[1,2];Yang, Qian[1];Zhang, Hao[3];Yang, Fuwen[4];Zhan, Xisheng[2]

机构：[1]East China Univ Sci & Technol, Minist Educ, Sch Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Hubei Normal Univ, Coll Mechatron & Control Engn, Huangshi 435002, Peoples R China;[3]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[4]Griffith Univ, Sch Engn, Gold Coast, Qld 4222, Australia

年份：2018

卷号：48

期号：12

起止页码：2047

外文期刊名：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录：;EI(收录号：20173704161533);WOS:【SCI-EXPANDED(收录号:WOS:000450617000003)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673178 and Grant 61471163, in part by the Shanghai International Science and Technology Cooperation Project under Grant 15220710700, in part by the Shanghai Shuguang Project under Grant 16SG28, in part by the Shanghai Natural Science Foundation under Grant 17ZR1444700 and Grant 17ZR1445800, in part by the Open Foundation of First Level Zhejiang Key in Key Discipline of Control Science and Engineering, in part by the Open Foundation of the State Key Laboratory of Robotics and System (HIT) under Grant SKLRS-2016-KF-03, and in part by the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Distributed H-infinity state estimation; filtering network; nonhomogeneous Markov chain; packet losses; switching topology

摘要：In this paper, the distributed H-infinity state estimation problem is investigated for a class of filtering networks with time-varying switching topologies and packet losses. In the filter design, the time-varying switching topologies, partial information exchange between filters, the packet losses in transmission from the neighbor filters and the channel noises are simultaneously considered. The considered topology evolves not only over time, but also by event switches which are assumed to be subjects to a nonhomogeneous Markov chain, and its probability transition matrix is time-varying. Some novel sufficient conditions are obtained for ensuring the exponential stability in mean square and the switching topology-dependent filters are derived such that an optimal H-infinity disturbance rejection attenuation level can be guaranteed for the estimation disagreement of the filtering network. Finally, simulation examples are provided to demonstrate the effectiveness of the theoretical results.