Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112252
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Type: Journal article
Title: Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels
Author: Xu, Y.
Lu, R.
Shi, P.
Li, H.
Xie, S.
Citation: IEEE Transactions on Cybernetics, 2018; 48(1):336-345
Publisher: IEEE
Issue Date: 2018
ISSN: 2168-2267
2168-2275
Statement of
Responsibility: 
Yong Xu, Renquan Lu, Peng Shi, Hongyi Li, and Shengli Xie
Abstract: This paper considers finite-time distributed state estimation for discrete-time nonlinear systems over sensor networks. The Round-Robin protocol is introduced to overcome the channel capacity constraint among sensor nodes, and the multiplicative noise is employed to model the channel fading. In order to improve the performance of the estimator under the situation, where the transmission resources are limited, fading channels with different stochastic properties are used in each round by allocating the resources. Sufficient conditions of the average stochastic finite-time boundedness and the average stochastic finite-time stability for the estimation error system are derived on the basis of the periodic system analysis method and Lyapunov approach, respectively. According to the linear matrix inequality approach, the estimator gains are designed. Finally, the effectiveness of the developed results are illustrated by a numerical example.
Keywords: Average stochastic finite-time boundedness; average stochastic finite-time stability; distributed state estimator; fading channel; Round-Robin protocol; sensor networks
Description: Date of publication December 15, 2016; date of current version November 15, 2017.
Rights: © 2016 IEEE
RMID: 0030086932
DOI: 10.1109/TCYB.2016.2635122
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
Appears in Collections:Electrical and Electronic Engineering publications

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