一类混沌神经网络的研究  

Study on a Class of Chaotic Neural Networks

作　　者：刘宝生 郭龄玉 

机构地区：[1]上海师范大学数学系,上海

出　　处：《应用数学进展》2022年第8期6099-6106,共8页Advances in Applied Mathematics

摘　　要：本文研究了延迟混沌神经网络的同步问题,引入一种新的自适应反馈控制器(包括状态相合控制和延迟状态相合控制),利用李雅普诺夫泛函研究了变系数情形下系统的同步性。最后利用数值模拟 验证了结论的有效性。This paper is concerned with the synchronization of the delayed chaotic neural net-works, it has a new adaptive feedback controller which includes state coupling control and delayed state coupling control. We study the case where the system is a variable coefficient. Also we discuss the stability conditions of synchronization by constructing a new Lyapunov functional. Example and numerical simulation are given to illustrate the effectiveness of the results.

关 键 词：自适应同步 时滞混沌神经网络 时变系数 稳定性 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]