Study on reachable set estimation of time-delay inertial memristive neural networks

被引：0

作者：

Zhao J. ^{[1
]}

Zhang Z. ^{[1
]}

机构：

[1] School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2023年 / 51卷 / 05期

关键词：

differential inclusion theory; disturbance; inertial memristor neural network; reachable set; time-delay;

D O I：

10.13245/j.hust.238851

中图分类号：

学科分类号：

摘要：

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 first-order form via a variable substitution method． Based on the framework of Filippov solution，differential inclusion theory and optimization theory，by constructing an appropriate Lyapunov function，the reachable set estimation criterion of the time-delay inertial memristor neural networks was given． The new criterion was given in algebraic form，and the reachable set estimation region of a polygon was obtained． Through numerical simulation analysis，the effectiveness of the proposed method for the estimation of reachable set of the time-delay inertial memristor neural networks was verified. © 2023 Huazhong University of Science and Technology. All rights reserved.

引用

页码：101 / 105

页数：4

共 20 条

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