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Estimator design for complex networks with encoding decoding mechanism and buffer-aided strategy: A partial-nodes accessible case.

Authors :
Zhang Y
Zou L
Wang Y
Wang YA
Source :
ISA transactions [ISA Trans] 2022 Aug; Vol. 127, pp. 68-79. Date of Electronic Publication: 2022 Apr 01.
Publication Year :
2022

Abstract

This article focuses on the partial-nodes-based state estimation (PNBSE) issue for a complex network with the encoding-decoding mechanism (EDM) over the unreliable communication channel, where the signals are transmitted in an intermittent manner. A so-called EDM is exploited to convert the transmitted signals into a set of codewords with finite bits so as to facilitate the transmission efficiency between the complex networks and the estimator. To guarantee the state estimation (SE) performance subject to the intermittent communication nature of the channel, a buffer with limited capacity, which stores the recent measurement signals and sends them to the estimator simultaneously, is adopted to improve the utilization rate of the measurement signals in the estimation process. The main objective of the investigated problem is to construct a partial-nodes-based (PNB) estimator to generate the desired state estimates for the underlying complex networks. Considering the intermittent feature of signal transmission, the ultimate boundedness of the SE error under the constructed PNB estimator is discussed, and then, sufficient conditions are derived which ensure that the desired PNB estimator exists. An simulation example is given to confirm the correctness and effectiveness of the proposed estimator design strategy in the end.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 ISA. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-2022
Volume :
127
Database :
MEDLINE
Journal :
ISA transactions
Publication Type :
Academic Journal
Accession number :
35428476
Full Text :
https://doi.org/10.1016/j.isatra.2022.03.029