State estimation for fractional-order neural networks

被引：7

作者：

Wang, Fei ^{[1
]}

Yang, Yongqing ^{[1
]}

Hu, Manfeng ^{[1
]}

Xu, Xianyun ^{[1
]}

机构：

[1] Jiangnan Univ, Minist Educ, Sch Sci, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China

来源：

OPTIK | 2015年 / 126卷 / 23期

基金：

中国国家自然科学基金;

关键词：

Fractional-order; State estimation; Mittag-Leffler stability; Neural network; SYNCHRONIZATION;

D O I：

10.1016/j.ijleo.2015.08.162

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, the state estimation problem is investigated for a class of fractional-order neural networks. The state of neurons can be estimated by some available output measurements. Some sufficient conditions are derived by checking the Mittag-Leffler stability of the error system. A numerical example is given to illustrate the effectiveness of the proposed method. (C) 2015 Elsevier GmbH. All rights reserved.

引用

收藏

页码：4083 / 4086

页数：4

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