A Optimization Approach for Consensus in Multi-agent Systems

被引：0

作者：

dos Santos Junior, Carlos R. P. ^{[1
]}

Carvalho, Jose Reginaldo H. ^{[1
]}

Savino, Heitor J. ^{[2
]}

机构：

[1] Univ Fed Amazonas, Inst Comp, Manaus, Amazonas, Brazil

[2] Univ Fed Alagoas, Inst Comp, Maceio, Brazil

来源：

AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS 2019 | 2020年 / 148卷

基金：

巴西圣保罗研究基金会;

关键词：

Consensus; Multi-agent systems; Nelder-Mead optimization; COORDINATION;

D O I：

10.1007/978-981-13-8679-4_7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents a method based on the application of optimization theory to minimize time for consensus in multi-agent systems. More specifically, the Nelder-Mead algorithm, modified for constrained problems, is utilized to compute an optimum matrix gain that minimizes time in an objective function related to consensus time. The paper presents the problem formulation, simulations, and results that prove the efficiency of optimization methods for this class of application.

引用

页码：83 / 93

页数：11

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