期刊
AUTOMATICA
卷 113, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2019.108681
关键词
Sensor networks; Time-varying nonlinear systems; Dynamic event-triggered scheme; Distributed filtering; Time-varying topologies; Gilbert-Elliott channels
资金
- National Natural Science Foundation of China [61873059, 61922024, 61873148, 61933007, 61873082, 61573316]
- Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning of China
- Natural Science Foundation of Shanghai [18ZR1401500]
- Engineering and Physical Sciences Research Council (EPSRC) of the UK
- Royal Society of the UK
- Alexander von Humboldt Foundation of Germany
In this paper, the recursive distributed filtering problem is investigated for a class of discrete nonlinear time-varying systems under a dynamic event-triggered mechanism. The system outputs are collected through a sensor network subject to a time-varying topology that is connected via Gilbert-Elliott channels and governed by a set of Markov chains. In order to save communication cost, a dynamic event-triggered strategy is utilized to decide when a particular sensor node should broadcast the corresponding measurement output to its neighbors. For the addressed time-varying systems, our aim is to design a distributed filter for each sensor node such that an upper bound on the filtering error variance is guaranteed and subsequently minimized at each iteration under the dynamic event-triggered transmission protocol. The parameters of the desired filter are obtained recursively by following a certain set of recursions. Finally, an illustrative example is employed to verify the effectiveness of the proposed dynamic event-triggered distributed filtering algorithm. (C) 2019 Elsevier Ltd. All rights reserved.
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