Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/101030
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Type: Journal article
Title: Network-based event-triggered filtering for Markovian jump systems
Author: Wang, H.
Shi, P.
Agarwal, R.
Citation: International Journal of Control, 2016; 89(6):1096-1110
Publisher: Taylor and Francis
Issue Date: 2016
ISSN: 0020-7179
1366-5820
Statement of
Responsibility: 
Huijiao Wang, Peng Shi and Ramesh K. Agarwal
Abstract: The problem of event-triggered H∞ filtering for networked Markovian jump system is studied in this paper. A dynamic discrete event-triggered scheme is designed to choose the transmitted data for different Markovian jumping modes. The time-delay modelling method is employed to describe the event-triggered scheme and the network-related behaviour, such as transmission delay, data package dropout and disorder, into a networked Markovian time-delay jump system. Furthermore, a sufficient condition is derived to guarantee that the resulting filtering error system is stochastically stable with a prescribed performance index. A co-design method for the H∞ filter and the event-triggered scheme is then proposed. The effectiveness and potential of the theoretic results obtained are illustrated by a simulation example.
Keywords: Event-triggered scheme; H∞filter; networked control systems; Markovian jump systems
Rights: © 2015 Taylor & Francis
DOI: 10.1080/00207179.2015.1118662
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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