Convergence of distributed averaging and maximizing algorithms Part II: State-dependent graphs

American Control Conference
Pages: 6859 - 6864
Published: Jun 17, 2013
Abstract
In this paper, we formulate and investigate a generalized consensus algorithm which makes an attempt to unify distributed averaging and maximizing algorithms considered in the literature. Each node iteratively updates its state as a time-varying weighted average of its own state, the minimal state, and the maximal state of its neighbors. In Part I of the paper, time-dependent graphs are studied. This part of the paper focuses on state-dependent...
Paper Details
Title
Convergence of distributed averaging and maximizing algorithms Part II: State-dependent graphs
Published Date
Jun 17, 2013
Journal
Pages
6859 - 6864
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