DocumentCode :
3620895
Title :
Optimal Estimation with Limited Measurements
Author :
O.C. Imer;T. Basar
Author_Institution :
GE Global Research, One Research Circle, Niskayuna, NY 12309.
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
1029
Lastpage :
1034
Abstract :
We consider a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process for a fixed period of time. The observer agent upon observing the process makes a decision as to whether to disclose some information about the process to the other agent who acts as an estimator. The estimator agent sequentially estimates the state of the process. The agents have the common objective of minimizing a performance criterion with the constraint that the observer agent may only act a limited number of times.
Keywords :
"Stochastic processes","Decoding","State estimation","Wireless sensor networks","Observers","Recursive estimation","Length measurement","Distortion measurement","Estimation error","Monitoring"
Publisher :
ieee
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC ´05. 44th IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-9567-0
Type :
conf
DOI :
10.1109/CDC.2005.1582293
Filename :
1582293
Link To Document :
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