A Optimization Approach for Consensus in Multi-agent Systems

Autor(es)

dos Santos Junior, Carlos R. P. ; Carvalho, Jose Reginaldo H. ; Savino, Heitor J. ; Jezic, G ; ChenBurger, YHJ ; Kusek, M ; Sperka, R ; Howlett, RJ ; Jain, LC

• Tipo de documento: Artigo Científico
• Fonte: AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS 2019; v. 148, p. 11-pg., 2020-01-01.

Resumo

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. (AU)

• Processo FAPESP: 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente
• Beneficiário: Marco Henrique Terra
• Modalidade de apoio: Auxílio à Pesquisa - Temático