DocumentCode
177099
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
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
4840
Lastpage
4845
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6853040
Filename
6853040
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