Title :
Optimal Estimation with Limited Measurements
Author :
O.C. Imer;T. Basar
Author_Institution :
GE Global Research, One Research Circle, Niskayuna, NY 12309.
fDate :
6/27/1905 12:00:00 AM
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"
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC ´05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582293