Title :
Consensus in distributed estimation with inconsistent beliefs
Author :
Teneketzis, D. ; Varaiya, P.
Author_Institution :
University of Michigan, Ann Arbor, Michigan
Abstract :
Two agents sequentially revise and exchange their estimates of the same random variable. The agents are Bayesian and may have different models of the underlying probability structure. It is shown that either the two sets of estimates will converge to the same value or the agents will realize that their beliefs are inconsistent.
Keywords :
Bayesian methods; Computer science; Contracts; Control systems; Distributed computing; Random variables; US Department of Energy;
Conference_Titel :
Decision and Control, 1984. The 23rd IEEE Conference on
Conference_Location :
Las Vegas, Nevada, USA
DOI :
10.1109/CDC.1984.272207
