Stabilization of switched neural networks with time-varying delay via bumpless transfer control

被引：4

作者：

Liu, Chao ^{[1
,2
]}

Sun, Dihua ^{[2
]}

Yang, Zheng ^{[1
,3
]}

Liu, Xiaoyang ^{[1
]}

Yang, Hongyu ^{[1
]}

Huang, Junjian ^{[4
]}

机构：

[1] Chongqing Univ Technol, Sch Comp Sci & Engn, Chongqing 400054, Peoples R China

[2] Hubei Univ, Hubei Key Lab Appl Math, Wuhan, Peoples R China

[3] Univ Helsinki, Dept Comp Sci, Gustaf Hallstromin Katu 2b, Helsinki, Finland

[4] Chongqing Univ Educ, Key Lab Machine Percept & Childrens Intelligence, Chongqing, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2020年 / 22卷 / 02期

基金：

国家重点研发计划; 中国国家自然科学基金; 中国博士后科学基金;

关键词：

bumpless transfer; delay; stabilization; switched neural network; H-INFINITY CONTROL; STABILITY ANALYSIS; NEUTRAL-TYPE; SYSTEMS; DESIGN;

D O I：

10.1002/asjc.2061

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the stabilization of switched neural networks with time-varying delay. In order to overcome the drawback that the classical switching state feedback controller may generate the bumps at switching time, a new switching feedback controller which can smooth effectively the bumps is proposed. According to mode-dependent average dwell time, new exponential stabilization results are deduced for switched neural networks under the proposed feedback controller. Based on a simple corollary, the procedures which are used to calculate the feedback control gain matrices are also obtained. Two simple numerical examples are employed to demonstrate the effectiveness of the proposed results.

引用

页码：1008 / 1020

页数：13

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