Matrix projective synchronization for time-varying disturbed networks with uncertain nonlinear structures and different dimensional nodes
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DOI码：10.1016/j.neucom.2018.05.041
发表刊物：Neurocomputing
关键字：Matrix projective synchronization; Time-varying networks; Uncertain nonlinear structures; Uncertain disturbances; Non-dissipatively coupled; Different dimensions
摘要：This paper investigates the matrix projective synchronization (MPS) problem for time-varying disturbed complex dynamical networks (CDNs) with uncertain nonlinear structures and different dimensional nodes. In order to well describe the practical networks, the unavoidable unknown nonlinear structure and the inevitable uncertain disturbance of each node are considered into our network model, which is different from the previous works. Besides, it is worth pointing out that the outer coupling configuration matrix, which represents the coupling strength and the topological structure, is not restricted by the dissipatively coupled condition in this paper. The definition of MPS is also introduced for the networks with different dimensional nodes. Moreover, several MPS schemes are respectively put forward for our network model according to the norm bound of the uncertain nonlinear structures and disturbances being unknown or not. Finally, two proper examples associated with numerical simulations are given to verify the effectiveness of our theoretical results.
合写作者：Youfa Lei,Yinhe Wang,Xuesong Chen
论文类型：期刊论文
通讯作者：Lili Zhang
卷号：311:
页面范围：11-23
是否译文：否
发表时间：2018-10-15
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0925231218306167?via%3Dihub
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