Asynchronous H∞ filtering for 2D discrete Markovian jump systems with sensor failure

被引：13

作者：

Zhai, Ding ^{[1
]}

Lu, An-Yang ^{[1
]}

Dong, Jiuxiang ^{[2
]}

Zhang, Qing-Ling ^{[1
]}

机构：

[1] Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China

[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2016年 / 289卷

关键词：

Asynchronous H-infinity filtering; Two-dimensional Markovian jump systems; Sensor failure; Linear matrix inequalities; ROBUST STABILIZATION; NONLINEAR-SYSTEMS; NEURAL-NETWORKS; FAULT-DETECTION; TIME-DELAY;

D O I：

10.1016/j.amc.2016.05.014

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper investigates the problem of the asynchronous H-infinity filtering for a class of two-dimensional(2D) Markovian jump systems with sensor failure. The asynchronous phenomenon is considered to be random mismatch between system modes and candidate filters. The mismatch behavior is assumed to be stochastic with a certain probability and a new Markov chain is proposed to model the jumping process of the filtering error system. Besides, a switching method is proposed to dealing with the sensor failure. Sufficient conditions for the existence of a desired filter such that the filtering error system is stochastically stable with a guaranteed H-infinity performance index are obtained in the form of linear matrix inequalities (LMIs). Two examples are provided to illustrate the effectiveness and advantage of the proposed method. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：60 / 79

页数：20

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