Title of article :
Optimal linear estimation for networked systems with communication constraints
Author/Authors :
Zhang، نويسنده , , Wen-An and Yu، نويسنده , , Li and Feng، نويسنده , , Gang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
9
From page :
1992
To page :
2000
Abstract :
This paper is concerned with the optimal linear estimation problem for discrete time-varying networked systems with communication constraints. The communication constraint considered is that only one network node is allowed to gain access to a shared communication channel, then the various network nodes of the networked systems are scheduled to transmit data according to a specified media access control protocol, and a remote estimator performs the estimation task with only partially available measurements. The channel accessing processes of those network nodes are modeled by Bernoulli processes, and optimal linear filters are designed by using the orthogonal projection principle and the innovation analysis approach. It is shown that the optimal estimation performances critically depend on the channel accessing probabilities of the network nodes and the packet loss probability, and the optimal filters can be obtained by solving recursive Lyapunov and Riccati equations. An illustrative example is finally given to show the effectiveness of the proposed filters.
Keywords :
Optimal Estimation , Communication constraints , Riccati equation , Innovation approach , Distributed networked systems
Journal title :
Automatica
Serial Year :
2011
Journal title :
Automatica
Record number :
1448444
Link To Document :
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