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AIAA Guidance, Navigation, and Control Conference
Information consensus in sensor networks has received much attention due to its numerous applications in distributed decision making. This paper discusses the problem of a distributed group of agents coming to agreement on a probability vector over a network, such as would be required in a decentralized estimation of state transition probabilities or agreement on a probabilistic search map. Unique from other recent consensus literature, however, the agents in this problem must reach agreementdoi:10.2514/6.2009-5655 fatcat:faicarvifffexfoz7z7v5ktzki