Consensus-Based Distributed Estimation in the Presence of Heterogeneous, Time-Invariant Delays
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2022
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en
Pages
6
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IEEE Control Systems Letters, Volume 6, pp. 1598-1603
Abstract
Classical distributed estimation scenarios typically assume timely and reliable exchanges of information over the sensor network. This letter, in contrast, considers single time-scale distributed estimation via a sensor network subject to transmission time-delays. The proposed discrete-time networked estimator consists of two steps: (i) consensus on (delayed) a-priori estimates, and (ii) measurement update. The sensors only share their a-priori estimates with their out-neighbors over (possibly) time-delayed transmission links. The delays are assumed to be fixed over time, heterogeneous, and known. We assume distributed observability instead of local observability, which significantly reduces the communication/sensing loads on sensors. Using the notions of augmented matrices and the Kronecker product, the convergence of the proposed estimator over strongly-connected networks is proved for a specific upper-bound on the time-delay.Description
Publisher Copyright: © 2017 IEEE.
Keywords
communication time-delays, consensus, Distributed estimation, Kronecker product
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Citation
Doostmohammadian, M, Khan, U A, Pirani, M & Charalambous, T 2022, ' Consensus-Based Distributed Estimation in the Presence of Heterogeneous, Time-Invariant Delays ', IEEE Control Systems Letters, vol. 6, pp. 1598-1603 . https://doi.org/10.1109/LCSYS.2021.3128152