Title :
Exponential synchronization of stochastic complex dynamical networks with impulsive perturbations and Markovian switching
Author :
Anding Dai ; Wuneng Zhou ; Yichao Zheng ; Shengchao Su
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper investigates the exponential synchronization problem of stochastic complex dynamical networks with impulsive perturbations and Markovian switching. The complex dynamical networks consists of κ modes and the networks switch from one mode to another according to a Markovian chain with known transition probability. Basing on the Lyapunov functional method and stochastic analysis, by employing M-matrix approach, some sufficiency conditions are presented to ensure the exponential synchronization of stochastic complex dynamical networks with impulsive perturbations and Markovian switching, and the upper bound of impulsive gain is evaluated. At the end of this paper, a numerical examples are included to show the effectiveness of our results.
Keywords :
Lyapunov methods; Markov processes; complex networks; network theory (graphs); synchronisation; Lyapunov functional method; M-matrix approach; Markovian chain; Markovian switching; exponential synchronization; impulsive perturbations; stochastic analysis; stochastic complex dynamical networks; sufficiency conditions; transition probability; Couplings; Neural networks; Noise; Stochastic processes; Switches; Synchronization; Upper bound; Complex dynamical network; Exponential synchronization; Impulsive perturbation; Markovian switching;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6853040