具有比例时滞的 Cohen-Grossberg 神经网络的渐近同步与自适应同步[EB/OL]
北京：中国科技论文在线
） 摘要： 本文主要研究了具有比例时滞的~Cohen-Grossberg 神经网络的同步
另外,本文还设计出了自适应控制来降低控制成本,并利用~Barbalat 引理讨论了网络的自适应同步
首先,通过设计简单的线性反馈控制, 讨论了神经网络的渐近同步, 利用变量代换、反证法和~Lyapunov 泛函理论,分别得到了依赖于时滞和独立于时滞的同步判别准则
aggedrightIn this paper, the synchronization of Cohen-Grossberg neural networks with proportional delays is investigated
Firstly, the asymptotical synchronization is proposed by designing a simple linear feedback controller, and some delay-independent and delay-dependent criteria are derived based on variable transformation, reduction to absurdity and Lyapunov functional theory
In addition, an adaptive control strategy is designed to reduce the control cost and the adaptive synchronization is investigated by means of Barbalat lemma
Finally, two numerical examples are given to show the validity and effectiveness of the theoretical results
Keywords： enewcommand{aggedright}{leftskip=0pt ightskip=0pt plus 0cm}aggedright Cohen-Grossberg Neural Network; Proportional Delay; Synchronization; Linear Control; Adaptive Control 下载PDF阅读器 PDF全文下载： 初稿 （ 0 ） 原始数据 作者简介： JIA Shichao(1993-), male, master student, major research direction：Dynamics and synchronization of neural networks 通信联系人： HU Cheng(1983-), male, associate professor, major research direction：Theory and applications of differential equations 【收录情况】 中国科技论文在线： 贾世超
乌鲁木齐 830046
JIANG Haijun （ College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046
