Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels|
|Citation:||IEEE Transactions on Cybernetics, 2018; 48(1):336-345|
|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|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.