A Optimization Approach for Consensus in Multi-agent Systems

Advanced search

Search - Use quotation marks to get a more specific result

Index

Field of knowledge

Start date

Betweenand

Full text
Author(s):	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 Total Authors: 9
Document type:	Journal article
Source:	AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS 2019; v. 148, p. 11-pg., 2020-01-01.
Abstract
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)

FAPESP's process:	14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment
Grantee:	Marco Henrique Terra
Support Opportunities:	Research Projects - Thematic Grants