Collaborative-Prediction-Based Recursive Filtering for Nonlinear Systems Subject to Low-Duty-Cycle Scheduling

In this paper, the recursive filtering problem is investigated for the nonlinear time-varying systems with the collaborative prediction algorithm (CPA) under a low-duty-cycle wireless transmission mechanism. To significantly save energy and bandwidth resources, low-duty-cycle scheduling (LDCS) is em...

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Vydané v:	IEEE transactions on signal processing Ročník 72; s. 1 - 13
Hlavní autori:	Gao, Hongyu, Yu, Lindong, Hou, Nan, Song, Jinbo, Li, Yue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Collaboration Collaborative prediction algorithm Covariance Covariance matrices Filtration low-duty-cycle scheduling Nonlinear systems nonlinear time-varying systems Performance degradation Petroleum Prediction algorithms recursive filtering Resource scheduling Scheduling Signal processing algorithms Time measurement Time-varying systems Wireless sensor networks
ISSN:	1053-587X, 1941-0476
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