Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term

查看全文 作　　者：LI [1]Ning;CAO [2]JinDe

机构地区：[1]College of Mathematics and Information Science, Henan University of Economics and Law;[2]School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University

出　　处：《Science China(Technological Sciences)》索引2018年第61卷第4期,共11页

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.61573096,61374079 and 61603125);the Chinese Scholarship Council(Grent No.201708410029);the'333 Engineering'Foundation of Jiangsu Province of China(Grant No.BRA2015286);Key Program of Henan Universities(Grant No.17A120001) 摘　　要：This present work uses different methods to synchronize the inertial memristor systems with linear coupling. Firstly, the mathematical model of inertial memristor-based neural networks(IMNNs) with time delay is proposed, where the coupling matrix satisfies the diffusion condition, which can be symmetric or asymmetric. Secondly, by using differential inclusion method and Halanay inequality, some algebraic self-synchronization criteria are obtained. Then, via constructing effective Lyapunov functional, designing discontinuous control algorithms, some new sufficient conditions are gained to achieve synchronization of networks. Finally, two illustrative simulations are provided to show the validity of the obtained results, which cannot be contained by each other. 关键词：神经网络同步惯性延期时间标准 LYAPUNOV 多重

相关文献

参考文献（40）
引证文献（6）
耦合文献（22）

参考文献(40)

引证文献(6)

耦合文献(22)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term

参考文献(40)

引证文献(6)

耦合文献(22)

用户提示