An adaptive penalty-like continuous-time algorithm to constrained distributed convex optimization

This paper considers a nonsmooth constrained distributed convex optimization over multi-agent systems. Each agent in the multi-agent system only has access to the information of its objective function and constraint, and cooperatively minimizes the global objective function, which is composed of the...

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Veröffentlicht in:	Journal of the Franklin Institute Jg. 359; H. 8; S. 3692 - 3716
Hauptverfasser:	Jia, Wenwen, Qin, Sitian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elmsford Elsevier Ltd 01.05.2022 Elsevier Science Ltd
Schlagworte:	Adaptive algorithms Algorithms Computational geometry Constraints Continuity (mathematics) Convex analysis Convexity Energy consumption Multiagent systems Numerical analysis Optimization Penalty function
ISSN:	0016-0032, 1879-2693, 0016-0032
Online-Zugang:	Volltext
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