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一类具时变时滞神经网络的分散线性反馈同步
Synchronization of Neural Networks with Time-Varying Delays by Decentralized Linear-Feedback Control
【摘要】 本文对一类带变时滞的神经网络的同步问题进行了研究。利用李雅普洛夫稳定性理论,设计出一个新的分散线性控制器,该控制器与时滞无关。在该控制器的作用下,可实现系统间的指数同步。该控制器更易于设计。仿真实例说明所提方案的有效性。
【Abstract】 The problem of synchronization for a class of neural networks with time-varying delays has been discussed in this paper.By using of the Lyapunov stability theorem,a novel delay-independent and decentralized linear-feedback control law is designed to achieve the exponential synchronization.The controller can be more easily designed than that obtained.The illustrative examples show the effectiveness of the presented synchronization scheme.
【关键词】 神经网络;
时变时滞;
指数同步;
线性反馈;
控制;
【Key words】 neural networks; time-varying delay; exponential synchronization; linear-feedback; control;
【Key words】 neural networks; time-varying delay; exponential synchronization; linear-feedback; control;
【基金】 国家自然科学基金(No.61774051);广东技术师范学院科研启动基金
- 【文献出处】 广东技术师范学院学报 ,Journal of Guangdong Polytechnic Normal University , 编辑部邮箱 ,2007年12期
- 【分类号】TP183
- 【下载频次】43