Event-triggered H∞ filter design for Markovian jump systems with quantization

被引:64
|
作者
Wang, Huijiao [1 ,2 ]
Zhang, Dong [2 ]
Lu, Renquan [3 ,4 ]
机构
[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China
[2] Zhejiang Sci Tech Univ, Fac Mech Engn & Automat, Inst Automat, Hangzhou 310018, Zhejiang, Peoples R China
[3] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[4] Guangdong Univ Technol, Guangdong Key Lab IoT Informat Proc, Guangzhou 510006, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered; Markov jump systems; Quantization; H-infinity filtering; NETWORKED CONTROL; STATE ESTIMATION; STABILITY; STABILIZATION; RESET;
D O I
10.1016/j.nahs.2017.10.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of event-triggered H-infinity filter design for Markov jump systems with output quantization is investigated in this paper. A dynamic event-triggered communication scheme is introduced to detect whether or not transmit the newly sampled data to the quantizer for different jumping modes. Time interval analysis approach is used to unify the Markov jump system, the event-triggered scheme and network-induced delays into a new Markov jump filtering error system with time-delay. Based on reciprocally convex approach, conditions are derived to guarantee the networked Markov jump system mean-square stable with an H-infinity norm bound. The correspondent H-infinity filter and the event-triggered parameters are also co-designed. Two numerical examples are given to show the effectiveness and better performance of the proposed analysis and design techniques. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:23 / 41
页数:19
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