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Distributed estimation algorithms for nonlinear systems

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2 Author(s)
D. Castanon ; ALPHATECH, Incorporated, Burlington, MA, USA ; D. Teneketzis

In this paper, we consider the problem of combining the local conditional distributions of a random variable which have been generated by local observers having access to their private information. Sufficient statistics for the local distributions are communicated to a coordinator, who attempts to reconstruct the global centralized distribution using only the communicated statistics. We obtain a distributed processing algorithm which recovers exactly the centralized conditional distribution. The results can be applied in designing distributed hypothesis-testing algorithms for event-driven systems.

Published in:

IEEE Transactions on Automatic Control  (Volume:30 ,  Issue: 5 )