文献类型：期刊文献

英文题名：Distributed H∞-consensus filtering for piecewise discrete-time linear systems

作者：Han, Fei[1,2]; Wei, Guoliang[3]; Song, Yan[3]; Li, Wangyan[1]

第一作者：Han, Fei;韩非

通讯作者：Wei, Guoliang

机构：[1] Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China; [2] Department of Mathematics and Information Science, Xinxiang University, Xinxiang, 453003, China; [3] Shanghai Key Lab of Modern Optical System, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

第一机构：Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China

年份：2015

卷号：352

期号：5

起止页码：2029-2046

外文期刊名：Journal of the Franklin Institute

收录：EI(收录号：20151100642762);Scopus(收录号：2-s2.0-84927570850)

语种：英文

外文关键词：Convex optimization - Piecewise linear techniques - Sensor networks

摘要：This paper is concerned with the distributed H∞-consensus filtering problem for a class of piecewise discrete-time linear systems. Firstly, the modes and their transitions of augmented piecewise linear systems as well as distributed filters are formulated. Also, the structure of augmented distributed filter gains is presented in virtue of the adjacent matrix of sensor networks. Then, a set of sufficient conditions are provided for the distributed filter to ensure that its dynamics is global asymptotically stable with the H∞-consensus performance constraint. In addition, the distributed filter gains are obtained with the aid of the convex optimal method. At last, an illustrative simulation is presented to demonstrate the effectiveness and applicability of the proposed distributed filtering algorithm. ? 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.