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2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05)
Estimation of Linear Stochastic Systems over a Queueing Network
Montreal, Canada
August 14-August 17
ISBN: 0-7695-2422-2
ASCII Text
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Michael Epstein, Abhishek Tiwari, Ling Shi, Richard M. Murray, "Estimation of Linear Stochastic Systems over a Queueing Network," Wireless Technologies/High Speed Networks/Multimedia Communications Systems/Sensor Networks, International Conference on, pp. 389-394, 2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICW.2005.46,
author = {Michael Epstein and Abhishek Tiwari and Ling Shi and Richard M. Murray},
title = {Estimation of Linear Stochastic Systems over a Queueing Network},
journal ={Wireless Technologies/High Speed Networks/Multimedia Communications Systems/Sensor Networks, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2422-2},
pages = {389-394},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICW.2005.46},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Wireless Technologies/High Speed Networks/Multimedia Communications Systems/Sensor Networks, International Conference on
TI - Estimation of Linear Stochastic Systems over a Queueing Network
SN - 0-7695-2422-2
SP389
EP394
A1 - Michael Epstein,
A1 - Abhishek Tiwari,
A1 - Ling Shi,
A1 - Richard M. Murray,
PY - 2005
KW - null
VL - 0
JA - Wireless Technologies/High Speed Networks/Multimedia Communications Systems/Sensor Networks, International Conference on
ER -
 
Michael Epstein, California Institute of Technology
Abhishek Tiwari, California Institute of Technology
Ling Shi, California Institute of Technology
Richard M. Murray, California Institute of Technology
In this paper, we consider the standard state estimation problem over a congested packet-based network. The network is modeled as a queue with a single server processing the packets. This provides a framework to consider the effect of packet drops, packet delays and bursty losses on state estimation. We use a modified Kalman Filter with buffer to cope with delayed packets. We analyze the stability of the estimates with varying buffer length and queue size. We use high order Markov chains for our analysis. Simulation examples are presented to illustrate the theory.
Citation:
Michael Epstein, Abhishek Tiwari, Ling Shi, Richard M. Murray, "Estimation of Linear Stochastic Systems over a Queueing Network," icw, pp.389-394, 2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05), 2005
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