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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Vydané v:	IEEE transactions on control of network systems Ročník 11; číslo 3; s. 1440 - 1451
Hlavní autori:	Bai, Nan, Wang, Qishao, Duan, Zhisheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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