Network-based event-triggered filtering for Markovian jump systems
Date
2016
Authors
Wang, H.
Shi, P.
Agarwal, R.
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Journal article
Citation
International Journal of Control, 2016; 89(6):1096-1110
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Huijiao Wang, Peng Shi and Ramesh K. Agarwal
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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.
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© 2015 Taylor & Francis