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The quantization error in the average consensus problem

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4 Author(s)
Carli, R. ; DEI, Univ. of Padova, Padova ; Fagnani, F. ; Frasca, P. ; Zampieri, S.

This work studies how uniform quantization in communications affects the linear diffusion algorithm for average consensus problem. Starting from the well-known linear diffusion algorithm, we analyze a simple and effective adaptation which is able to preserve the average of states and to drive the system near to the consensus value. The error is estimated by a worst case analysis, which suggests that it can increase as the number of agents goes to infinity. The algorithm is also compared with the existing literature.

Published in:

Control and Automation, 2008 16th Mediterranean Conference on

Date of Conference:

25-27 June 2008

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