DocumentCode
176677
Title
Second-order consensus of discrete-time multi-agent systems via one-step delayed data
Author
Guang-Hui Xu ; Ji-Shi Zhang ; Rui-Quan Liao ; Ding-Xue Zhang ; Zhi-Hong Guan
Author_Institution
Coll. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3687
Lastpage
3692
Abstract
This paper considers the second-order consensus problem of discrete-time multi-agent systems over fixed and undirected network topologies. A distributed consensus protocol utilizing the current and one-step delayed position information is proposed. It is interesting to found that second-order consensus in such a discrete-time multi-agent system cannot be ensured without any one-step delayed position data while it can be reached by appropriately choosing the sampling interval and the coupling strength with one-step delayed position data. A necessary and sufficient condition for reaching second-order consensus in a discrete-time multi-agent dynamical system on the sampling interval, the control gain parameters and the eigenvalues of the Laplacian matrix has been established under fixed and undirected topology. Finally, numerical examples are given to illustrate the theoretical analysis.
Keywords
Laplace equations; delay systems; discrete time systems; eigenvalues and eigenfunctions; matrix algebra; multi-agent systems; topology; Laplacian matrix; control gain parameters; coupling strength; discrete-time multiagent dynamical system; distributed consensus protocol; eigenvalues; fixed network topology; one-step delayed data; one-step delayed position information; sampling interval; second-order consensus problem; undirected network topology; Educational institutions; Eigenvalues and eigenfunctions; Laplace equations; Multi-agent systems; Network topology; Protocols; Topology; Multi-agent systems; One-step delayed data; Sampling interval; Second-order consensus;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852820
Filename
6852820
Link To Document