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Distributed average consensus: Beyond the realm of linearity

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3 Author(s)
Khan, U.A. ; Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA ; Kar, S. ; Moura, J.M.F.

In this paper, we present a distributed average-consensus algorithm with non-linear updates. In particular, we use a weighted combination of the sine of the state differences among the nodes as a consensus update instead of the conventional linear update that just includes a weighted combination of the state differences. We show the non-linear average-consensus converges to the initial average under appropriate conditions on the weights. By simulations, we show that the convergence rate of our algorithm outperforms the conventional linear case.

Published in:

Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on

Date of Conference:

1-4 Nov. 2009

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