Distributed Robust Optimization in Networked System

In this paper, we consider a distributed robust optimization (DRO) problem, where multiple agents in a networked system cooperatively minimize a global convex objective function with respect to a global variable under the global constraints. The objective function can be represented by a sum of loca...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 47; H. 8; S. 2321 - 2333
Hauptverfasser:	Wang, Shengnan, Li, Chunguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Computer simulation Convergence Distributed optimization Lagrangian functions Linear programming Multiagent systems networked system Nonlinear programming Optimization Parameter uncertainty Projection robust Robustness Robustness (mathematics) subgradient approach Uncertainty
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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