Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices

This paper considers a distributed optimization problem over a multiagent network, in which the objective function is a sum of individual cost functions at the agents. We focus on the case when communication between the agents is described by a directed graph. Existing distributed optimization algor...

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Veröffentlicht in:	IEEE transactions on automatic control 2018-10, Vol.63 (10), p.3558-3565
Hauptverfasser:	Xi, Chenguang, Mai, Van Sy, Xin, Ran, Abed, Eyad H., Khan, Usman A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Agents and autonomous systems Algorithms Convergence Convex functions cooperative control Cost function directed graphs Graph theory Graphs Indexes Linear programming Mathematical analysis Matrix methods Multiagent systems Optimization optimization algorithms
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