期刊论文

中文

华中科技大学学报(自然科学版)

1671-4512

2023

51

5

101-105

10.13245/j.hust.238851

湖北省教育厅科学研究计划资助项目(D20211604).

本校为第一机构

本文研究了带有扰动的时滞惯性忆阻神经网络可达集估计问题.基于微分包含理论，通过构造适当的Lyapunov-Krasovskii泛函，给出了时滞惯性忆阻神经网络的可达集估计判据.新判据以代数形式给出并且时滞惯性忆阻神经网络的状态界定在一个多边形可达集中.通过数值仿真分析，验证所提出方法对时滞惯性忆阻神经网络可达集估计的有效性.

Reachable set estimation of time-delay inertial memristor neural networks with disturbances was studied.The considered time-delay inertial memristor neural network was a second-order differential equation,which was transformed into a firstorder form via a variable subst...MORE Reachable set estimation of time-delay inertial memristor neural networks with disturbances was studied.The considered time-delay inertial memristor neural network was a second-order differential equation,which was transformed into a firstorder form via a variable substitution method.Based on the framework of Filippov so...