Network-based event-triggered filtering for Markovian jump systems

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

Additional information

Funding

This work was partially supported by the National Natural Science Foundation of China [grant number 61104094], [grant number 61473264], [grant number 61573112]; the National Funds for Distinguished Young Scientists of China [grant number 61425009]; the Australian Research Council [grant number DP140102180], [grant number LP140100471]; the 111 Project [grant number B12018]; the 521 Key Teacher Program of Zhejiang Sci-Tech University.