An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

doi:10.1088/1674-1056/19/11/110512

中国物理B ›› 2010, Vol. 19 ›› Issue (11): 110512-110515.doi: 10.1088/1674-1056/19/11/110512

An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

邵海见, 蔡国梁, 汪浩祥

Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang 212013, China

收稿日期:2010-03-12 修回日期:2010-05-26 出版日期:2010-11-15 发布日期:2010-11-15
基金资助:
Project supported by the National Natural Science Foundations of China (Grant Nos. 70571030 and 90610031), the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057) and the Advanced Talents' Foundation and Student's Foundation of Jiangsu University (Grant Nos. 07JDG054 and 07A075).

An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

Shao Hai-Jian(邵海见), Cai Guo-Liang(蔡国梁)^†, and Wang Hao-Xiang(汪浩祥)

Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang 212013, China

Received:2010-03-12 Revised:2010-05-26 Online:2010-11-15 Published:2010-11-15
Supported by:
Project supported by the National Natural Science Foundations of China (Grant Nos. 70571030 and 90610031), the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057) and the Advanced Talents' Foundation and Student's Foundation of Jiangsu University (Grant Nos. 07JDG054 and 07A075).

摘要/Abstract

摘要： In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This paper presents the comprehensive discussion of the approach and also extensive applications.

Abstract: In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This paper presents the comprehensive discussion of the approach and also extensive applications.

Key words: Hopfield neural network, LMI approach, global synchronisation, sliding mode control

中图分类号: (Matrix theory)

02.10.Yn

07.05.Dz (Control systems)

邵海见, 蔡国梁, 汪浩祥. An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network[J]. 中国物理B, 2010, 19(11): 110512-110515.

Shao Hai-Jian(邵海见), Cai Guo-Liang(蔡国梁), and Wang Hao-Xiang(汪浩祥). An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network[J]. Chin. Phys. B, 2010, 19(11): 110512-110515.

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An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

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