DocumentCode
2265907
Title
Driver edges analysis for network controllability
Author
Shaopeng, Pang ; Fei, Hao
Author_Institution
The Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China
fYear
2015
fDate
28-30 July 2015
Firstpage
7291
Lastpage
7296
Abstract
Using fewer control inputs and links to drive the dynamics on complex networks toward some desired state is a basic issue in the field of network controllability. The links between control inputs and controlled objects are defined as driver edges, and the minimum links theorem is proposed to determine the minimum set of driver edges for full controllability of a complex directed network with arbitrary structures. Simulations with different influence factors of the driver edges number are performed. The results based on model and real networks show the following conclusions. The sparse and heterogeneous networks require more driver edges, while the dense and homogeneous networks can be controlled easily. The driver edges number equals almost to the number of the driver nodes. Moreover, the driver edges number is determined mainly by the networks degree distribution.
Keywords
Complex networks; Controllability; Erbium; Mathematical model; Simulation; Complex Networks; Controllability; Driver Edges; Structure Shrinkage Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260795
Filename
7260795
Link To Document