Convergence Analysis of Dual Decomposition Algorithm in Distributed Optimization: Asynchrony and Inexactness

Dual decomposition is widely utilized in the distributed optimization of multiagent systems. In practice, the dual decomposition algorithm is desired to admit an asynchronous implementation due to imperfect communication, such as time delay and packet drop. In addition, computational errors also exi...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 68; H. 8; S. 4767 - 4782
Hauptverfasser:	Su, Yifan, Wang, Zhaojian, Cao, Ming, Jia, Mengshuo, Liu, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Asynchronous algorithm Convergence Decomposition distributed optimization dual decomposition Heuristic algorithms inexact algorithm Linear programming Multi-agent systems multiagent system (MAS) Multiagent systems Newton method Optimization Power systems Reagents
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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