An Efficient Distributed Parallel Algorithm for Optimal Consensus of Multiagent Systems

A parallel algorithm is presented in this article to efficiently solve the optimal consensus problem of multiagent systems. By utilizing a Jacobi-type proximal alternating direction multiplier framework, the optimization process is divided into two independent subproblems that can be solved in paral...

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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 11; H. 3; S. 1440 - 1451
Hauptverfasser:	Bai, Nan, Wang, Qishao, Duan, Zhisheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convergence Convex optimization Convexity Costs distributed optimization Jacobian matrices Lagrange multiplier Multi-agent systems Multiagent systems optimal consensus Optimization parallel algorithm Parallel algorithms Parameters Protocols
ISSN:	2325-5870, 2372-2533
Online-Zugang:	Volltext
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