文章基本信息

标题：Finite-time synchronization criterion of graph theory perspective fractional-order coupled discontinuous neural networks
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作者：A. Pratap ; R. Raja ; Jinde Cao 等
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2020
卷号：2020
期号：1
页码：1-24
DOI：10.1186/s13662-020-02551-x
出版社：Hindawi Publishing Corporation
摘要：In this research work, the finite-time synchronization and adaptive finite-time synchronization criterion of graph theory perspective fractional-order coupled discontinuous neural networks (FCDNNs) are investigated under two different control strategies. By utilizing differential inclusion theory, Filippov framework, suitable Lyapunov functional, and graph theory approach, several sufficient criteria based on discontinuous state feedback control protocol and discontinuous adaptive feedback control protocol are established for ensuring the finite-time synchronization and adaptive finite-time synchronization of FCDNNs. Finally, two numerical cases illustrate the efficiency of the proposed finite-time synchronization results.
关键词：Discontinuous fractional-order neural networks ; Coupled systems ; Finite time synchronization ;