TY - GEN
T1 - Consensus on scale-free network
AU - Wang, Hua
AU - Guo, Yi
PY - 2008
Y1 - 2008
N2 - In this paper, we study the consensus on scale-free network, which is known as more robust and immune to the random mutation and perturbation than (binomial) random network. The underlying dynamics of system is derived from a discrete random process by averaging the state of agents weighted by agent degree. In such framework, we address the consensus on different categories, on fixed/switching topology, on undirected/directed graph based on martingale convergence theorem.
AB - In this paper, we study the consensus on scale-free network, which is known as more robust and immune to the random mutation and perturbation than (binomial) random network. The underlying dynamics of system is derived from a discrete random process by averaging the state of agents weighted by agent degree. In such framework, we address the consensus on different categories, on fixed/switching topology, on undirected/directed graph based on martingale convergence theorem.
KW - Complex network
KW - Consensus problem
KW - Network control system
KW - Scale-free network
KW - Stochastic stability
UR - http://www.scopus.com/inward/record.url?scp=52449131888&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52449131888&partnerID=8YFLogxK
U2 - 10.1109/ACC.2008.4586582
DO - 10.1109/ACC.2008.4586582
M3 - Conference contribution
AN - SCOPUS:52449131888
SN - 9781424420797
T3 - Proceedings of the American Control Conference
SP - 748
EP - 752
BT - 2008 American Control Conference, ACC
T2 - 2008 American Control Conference, ACC
Y2 - 11 June 2008 through 13 June 2008
ER -