Title :
Consensus on scale-free network
Author :
Wang, Hua ; Guo, Yi
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ
Abstract :
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.
Keywords :
complex networks; distributed parameter systems; graph theory; stability; discrete random process; fixed/switching topology; martingale convergence theorem; network control system; perturbation; random mutation; scale-free network; stochastic stability; undirected/directed graph; Complex networks; Computer networks; Control systems; Convergence; Genetic mutations; Graph theory; Multiagent systems; Network topology; Robust control; Robustness; Network control system; complex network; consensus problem; scale-free network; stochastic stability;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586582
