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Finite/Fixed-Time Bipartite Synchronization of Coupled Delayed Neural Networks Under a Unified Discontinuous Controller
Neural Processing Letters ( IF 3.1 ) Pub Date : 2020-07-27 , DOI: 10.1007/s11063-020-10308-6
Haocong Wu , Xia Wang , Xiaoyang Liu , Jinde Cao

This paper considers the finite-time and fixed-time bipartite synchronization (FFTBS) of coupled delayed neural networks (CDNNs) under signed graphs. For the structurally balanced or unbalanced network topology, both the goals of FFTBS of CDNNs are achieved simultaneously by a unified discontinuous controller. Some sufficient criterion are obtained to ensure the FFTBS under the new designed protocols, and the corresponding settling times are estimated as well. Finally, two simulations are established to verify the validity and effectiveness of the designs.



中文翻译:

统一不连续控制器下耦合时滞神经网络的有限时间/固定时间双向同步

本文考虑了带符号图的耦合时延神经网络(CDNN)的有限时间和固定时间双向同步(FFTBS)。对于结构平衡或不平衡的网络拓扑,CDNN的FFTBS的两个目标都是通过统一的不连续控制器同时实现的。获得了一些足够的标准来确保新设计协议下的FFTBS,并且还估计了相应的建立时间。最后,建立了两个仿真以验证设计的有效性和有效性。

更新日期:2020-07-27
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