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.
作者
侯晓
李晨松
HOU Xiao;LI Chensong(College of Mathematics Science,Inner Mongolia Minzu University,Tongliao 028043,China)
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)。
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
neural networks
time-varying delays
finite-time passivity
switching topologies
state-dependent switching signal