Improvement of a Distributed Algorithm for Solving Linear Equations

This paper performs further improvement to a distributed algorithm for solving linear algebraic equations via multi-agent networks recently developed by Mou et al., in which all agents' states converge exponentially fast to the same solution to a group of linear equations by assuming each agent...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 64; číslo 4; s. 3113 - 3117
Hlavní autoři:	Wang, Xuan, Mou, Shaoshuai, Sun, Dengfeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.04.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Convex functions Decentralized control Distributed algorithms Euclidean distance Euclidean geometry Kernel Linear algebra Linear equations Mathematical analysis multi-agent network Multiagent systems Process control Sun
ISSN:	0278-0046, 1557-9948
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