期刊
AUTOMATICA
卷 135, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2021.110001
关键词
Event-triggering mechanism; H-infinity filtering; Linear discrete time-varying system; Krein space; Projection
资金
- National Natural Science Foundation of China [61873149, 61733009, 62033008]
- Research Fund for the Taishan Scholar Project of Shandong Province of China
This paper focuses on event-triggered H-infinity filtering for linear discrete time-varying systems. An equivalent relationship is established using the lifting technique, and a feasible solution is obtained through Riccati recursions. An algorithm based on time-update and event-update recursions is presented for the implementation of event-triggered H-infinity filtering. The proposed approach provides a new scheme that decouples estimation error from transmission error and is less conservative and more computationally attractive than existing methods based on recursive linear inequality matrix.
This paper is concerned with the problem of event-triggered H-infinity filtering for linear discrete time-varying (LDTV) systems. Using the lifting technique, we firstly establish an equivalent relationship with a certain equivalent minimum problem of indefinite quadratic form subject to LDTV systems with non-uniform sampling periods. Then, based on Krein space projection and innovation analysis, sufficient and necessary conditions for the existence of desired filter are derived and a feasible solution is obtained in terms of Riccati recursions. Thus, an algorithm based on the time-update and event-update recursions is given for the implementation of event-triggered H-infinity filtering. Different from some existing results, a new event-triggered H-infinity filtering scheme is provided so that the estimation error can be completely decoupled from the event-triggered transmission error. Moreover, the new proposed Krein space approach is less conservative and more computational attractive than the existing methods based on recursive linear inequality matrix. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach. (c) 2021 Elsevier Ltd. All rights reserved.
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