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Lag group consensus for the second-order nonlinear multi-agentsystems via adaptive control approach
GUO Wanli * #
College of Mathematics and Physics, China University of Geosciences, Wuhan 430074
*Correspondence author
#Submitted by
Subject:
Funding: National Natural Science Foundation of China（No.11301492）, Foundamental Research Founds for National University, China University of Geosciences (Wuhan)（No.CUGL140420）, PhD Programs Foundation of Ministry of Education of China（No.20130145120005）
Opened online: 8 November 2016
Accepted by: none
Citation: GUO Wanli.Lag group consensus for the second-order nonlinear multi-agentsystems via adaptive control approach[OL]. [ 8 November 2016] http://en.paper.edu.cn/en_releasepaper/content/4708194
 
 
This paper studies the lag group consensus problem ofthe second-order nonlinear multi-agent systems. A protocol mixedwith the adaptive control approach is presented for agents to behindthe leader in each group at different times, so as to avoidcongestion. Without assuming that the topology is connected orweakly connected even there is rooted directed spanning tree,sufficient conditions for the lag group consensus are proposedanalytically. Moreover, it is shown that with the given protocol, nomatter what topology of the multi-agent system is, the lag groupconsensus can be obtained always. Finally, a simulation example isgiven to illustrate our theoretical analysis.
Keywords:Lag Group Consensus; Multi-agent Systems; AdaptiveControl Approach
 
 
 

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