一类切换时滞神经网络的有限时间无源性  

Finite-time Passivity for A Class of Switching Delay Neural Networks

作　　者：侯晓 李晨松 HOU Xiao;LI Chensong(College of Mathematics Science,Inner Mongolia Minzu University,Tongliao 028043,China)

机构地区：[1]内蒙古民族大学数学科学学院,内蒙古通辽028043

出　　处：《内蒙古民族大学学报（自然科学版）》2024年第1期91-96,共6页Journal of Inner Mongolia Minzu University：Natural Sciences

基　　金：国家自然科学基金项目(62163031,61663037);内蒙古自治区自然科学基金项目(2021MS06022);内蒙古民族大学博士科研启动基金项目(BS436)。

摘　　要：为了研究切换拓扑下的时滞神经网络有限时间无源性,通过设计状态依赖型切换信号和控制器的方法,得到在切换拓扑下的时滞神经网络具有有限时间无源性的结论,进而得到有限时间镇定的结论。当2个时滞神经网络系统都具有有限时间无源性时,通过设计切换信号的方法,得到它们的反馈互联系统具有有限时间无源性的结论,通过数值例子验证定理结果的有效性。In order to study the finite-time passivity of time-varying delayed neural networks under switching topology,which conclusion has obtained by designing the state-dependent switching signal and controllers,and then the conclusion of finite-time stabilization is obtained.When the two time-varying delayed neural networks systems have finite-time passivity,the conclusion that their feedback interconnection systems have finite-time passivity is obtained by designing a method for switching signals,the validity of the theorem results is verified by numerical ex⁃amples.

关 键 词：神经网络 时变时滞 有限时间无源 切换拓扑 状态依赖型切换信号 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]