A GENERAL FRAMEWORK FOR CONSENSUS NETWORKS
A GENERAL FRAMEWORK FOR CONSENSUS NETWORKS
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Date
2015-03-10
Authors
Somarakis, Christoforos
Advisor
Baras, John
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Abstract
A new framework for the analysis of consensus networks is developed. The theory
consists of necessary and sufficient conditions and it is flexible enough to comprise a variety of
consensus systems. Under mild connectivity assumptions, the discussion ranges from linear, nonlinear, ordinary, functional and leader-follower models. The establishment of explicit estimates on
the rate of convergence is the central objective. Our work extends and unifies past related works in
the literature. Illustrative examples and simulations are presented to outline the theoretical results.