journal article Apr 30, 2014

Dynamic average consensus under limited control authority and privacy requirements

Abstract
SummaryThis paper introduces a novel continuous‐time dynamic average consensus algorithm for networks whose interaction is described by a strongly connected and weight‐balanced directed graph. The proposed distributed algorithm allows agents to track the average of their dynamic inputs with some steady‐state error whose size can be controlled using a design parameter. This steady‐state error vanishes for special classes of input signals. We analyze the asymptotic correctness of the algorithm under time‐varying interaction topologies and characterize the requirements on the stepsize for discrete‐time implementations. We show that our algorithm naturally preserves the privacy of the local input of each agent. Building on this analysis, we synthesize an extension of the algorithm that allows individual agents to control their own rate of convergence towards agreement and handle saturation bounds on the driving command. Finally, we show that the proposed extension additionally preserves the privacy of the transient response of the agreement states and the final agreement value from internal and external adversaries. Numerical examples illustrate the results. Copyright © 2014 John Wiley & Sons, Ltd.
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Metrics
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Citations
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References
Details
Published
Apr 30, 2014
Vol/Issue
25(13)
Pages
1941-1966
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Cite This Article
S. S. Kia, J. Cortes, S. Martínez (2014). Dynamic average consensus under limited control authority and privacy requirements. International Journal of Robust and Nonlinear Control, 25(13), 1941-1966. https://doi.org/10.1002/rnc.3178