A Finite-Time Consensus Continuous-Time Algorithm for Distributed Pseudoconvex Optimization With Local Constraints

In this article, we develop a continuous-time algorithm based on a multiagent system for solving distributed, nonsmooth, and pseudoconvex optimization problems with local convex inequality constraints. The proposed algorithm is modeled by differential inclusion, which is based on the penalty method...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 70; H. 2; S. 979 - 991
Hauptverfasser:	Wang, Sijian, Yu, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Constraints Continuous time systems Convex functions Distributed optimization finite-time consensus Heuristic algorithms Linear programming Multi-agent systems Multiagent systems Operators (mathematics) Optimization pseudoconvex optimization Recurrent neural networks Vectors
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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