Sensitivity of optimal control for diffusion Hopfield neural network in the presence of perturbation

被引：0

作者：

Wang, Quan-Fang ^{[1
]}

Nakagiri, Shin-ichi ^{[2
]}

机构：

[1] Chinese Univ Hong Kong, Shatin, Hong Kong, Peoples R China

[2] Kobe Univ, Fac Engn, Nada Ku, Kobe, Hyogo 6578501, Japan

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2012年 / 219卷 / 08期

关键词：

Optimal control; Hopfield neural network; Perturbation; Sensitivity; Diffusion; Numerical simulation; DELAYS;

D O I：

10.1016/j.amc.2012.10.008

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

With the wide investigation of Hopfield neural network (HNN) and its control problems, this paper is to control diffusion HNN system in the presence of perturbation (disturbance, uncertainties) in the control field. In particular, it is try to answer the most interesting question on the sensitivity of these perturbations both in theoretical and computational aspects. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.

引用

页码：3793 / 3808

页数：16

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