FURTHER IMPROVEMENT OF FINITE-TIME CONSENSUS PROTOCOLS FOR DETAIL-BALANCED NETWORKS
Author(s) -
Ye Cheng,
Ke Shi,
Wenfei Zhao,
Liangliang Ding
Publication year - 2019
Publication title -
journal of applied analysis and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 21
eISSN - 2158-5644
pISSN - 2156-907X
DOI - 10.11948/20190008
Subject(s) - computer science , protocol (science) , convergence (economics) , network topology , consensus , flexibility (engineering) , multi agent system , mathematical optimization , topology (electrical circuits) , mathematics , computer network , artificial intelligence , medicine , statistics , alternative medicine , pathology , economics , economic growth , combinatorics
This paper presents a new class of protocols to solve finite-time consensus for multi-agent systems. The protocols are induced from the classical finite-time consensus algorithm by using the so-called protocol function. Sufficient conditions are established for networked agents to experience finitetime consensus under time-varying undirected and fixed directed topologies. Numerical simulations show that the proposed protocols can provide more flexibility to improve convergence rate.
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