Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming

In this paper, we consider a remote estimation problem where multiple dynamical systems are observed by smart sensors, which transmit their local estimates to a remote estimator over channels prone to packet losses. Unlike previous works, we allow multiple sensors to transmit simultaneously even tho...

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Vydáno v:	Automatica (Oxford) Ročník 136; s. 110061
Hlavní autoři:	Forootani, Ali, Iervolino, Raffaele, Tipaldi, Massimo, Dey, Subhrakanti
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2022
Témata:	Approximate dynamic programming Kalman filter Least Squares Temporal Difference Markov Decision Process Sensor scheduling Wireless sensor networks Wireless sensor networks Approximate dynamic programming Least Squares Temporal Difference Markov Decision Process Sensor scheduling Kalman filter
ISSN:	0005-1098, 1873-2836, 1873-2836
On-line přístup:	Získat plný text
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