作者: Yijun Zhang , Shengyuan Xu , Yuming Chu
DOI: 10.1080/00207160903536327
关键词: Complex network 、 Synchronization (computer science) 、 Kronecker product 、 Interval (mathematics) 、 Control theory 、 Class (set theory) 、 Piecewise 、 Mathematical optimization 、 Mathematics 、 Stochastic process 、 Stochastic neural network
摘要: The synchronization problem is considered for a class of stochastic complex networks with interval time-varying delays. Based on the Lyapunov functional method and analysis theory, delay-dependent sufficient conditions are obtained, which ensure that identical delayed globally synchronized in mean square sense. Furthermore, 'piecewise delay' approach improved to deal systems disturbances by introducing two new lemmas. efficiency applicability proposed methodology demonstrated numerical examples.