All Issues

Vol.10, 2020
Vol.9, 2019
Vol.8, 2018
Vol.7, 2017
Vol.6, 2016
Vol.5, 2015
Vol.4, 2014
Vol.3, 2013
Vol.2, 2012
Vol.1, 2011
Volume 9, Number 5, 2019, Pages 1927-1939                                                                DOI:10.11948/20190008
Further improvement of finite-time consensus protocols for detail-balanced networks
Ye Cheng,Bao Shi,Wenfei Zhao,Liangliang Ding
Keywords:Finite-time consensus, multi-agent systems, convergence rate, graph theory.
      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 finite-time consensus under time-varying undirected and fixed directed topologies. Numerical simulations show that the proposed protocols can provide more flexibility to improve convergence rate.
PDF      Download reader