TY - GEN
T1 - Nonnegative edge consensus of networked linear systems
AU - Wang, Xiaoling
AU - Su, Housheng
AU - Wang, Xiaofan
AU - Chen, Guanrong
PY - 2016/8/26
Y1 - 2016/8/26
N2 - In this paper, nonnegative edge consensus of systems steered by general linear dynamics on directed network is investigated. In the new approach, one first endows dynamics to each directed edge and then designs a distributed edge consensus protocol guiding all edges to reach a common state. With the help of line graph theory, it is proved that strongly connected network can ensure reaching nonnegative edge consensus, if the initial conditions of all edges are nonnegative. Numerical simulations are provided to verify the theoretical results.
AB - In this paper, nonnegative edge consensus of systems steered by general linear dynamics on directed network is investigated. In the new approach, one first endows dynamics to each directed edge and then designs a distributed edge consensus protocol guiding all edges to reach a common state. With the help of line graph theory, it is proved that strongly connected network can ensure reaching nonnegative edge consensus, if the initial conditions of all edges are nonnegative. Numerical simulations are provided to verify the theoretical results.
KW - Distributed algorithm
KW - Line graph
KW - Networked system
KW - Nonnegative edge consensus
UR - http://www.scopus.com/inward/record.url?scp=84987852364&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84987852364&origin=recordpage
U2 - 10.1109/ChiCC.2016.7554659
DO - 10.1109/ChiCC.2016.7554659
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9789881563910
VL - 2016-August
SP - 8184
EP - 8189
BT - Chinese Control Conference, CCC
PB - IEEE Computer Society
T2 - 35th Chinese Control Conference (CCC 2016)
Y2 - 27 July 2016 through 29 July 2016
ER -