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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Vydané v:	Journal of the Franklin Institute Ročník 359; číslo 8; s. 3692 - 3716
Hlavní autori:	Jia, Wenwen, Qin, Sitian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elmsford Elsevier Ltd 01.05.2022 Elsevier Science Ltd
Predmet:	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
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