Cluster Synchronization of Impulsive Complex Networks with Stochastic Perturbations and Time-Varying Delays
Author(s) -
Yi Zhao,
Jianwen Feng,
Jingyi Wang
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/678543
Subject(s) - synchronization (alternating current) , linear matrix inequality , complex network , cluster (spacecraft) , lyapunov stability , perturbation (astronomy) , control theory (sociology) , computer science , stability (learning theory) , mathematics , lyapunov function , mathematical optimization , topology (electrical circuits) , nonlinear system , physics , control (management) , combinatorics , quantum mechanics , artificial intelligence , machine learning , world wide web , programming language
This paper investigates the cluster synchronization of impulsive complex networks with stochastic perturbation and time-varying delays. Besides, the nodes in the complex networks are nonidentical. By utilizing the Lyapunov stability theory, stochastic analysis theory, and linear matrix inequalities (LMI), sufficient conditions are derived to guarantee the cluster synchronization. The numerical simulation is provided to show the effectiveness of the theoretical results
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