Convergence Analysis of a Distributed Optimization Algorithm with a General Unbalanced Directed Communication Network

In this paper, we discuss a class of distributed constrained optimization problems in power systems where the target is to optimize the sum of all agents’ local convex objective functions over a general unbalanced directed communication network. Each local convex objective function is known exclusiv...

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Vydané v:	IEEE transactions on network science and engineering Ročník 6; číslo 3; s. 237 - 248
Hlavní autori:	Li, Huaqing, Lu, Qingguo, Huang, Tingwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.07.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Communication Communication networks Communications networks Constraints Convergence Convexity Coupling Couplings Distributed constrained optimization Economic models Linear programming Load management Mathematical analysis Optimization Power systems primal-dual (sub)gradient algorithm Smoothness unbalanced directed network uncoordinated step-sizes Upper bounds
ISSN:	2327-4697, 2334-329X
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