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

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.

Keywords: Hopfield neural network LMI approach global synchronisation sliding mode control

Received: 12 March 2010
Revised: 26 May 2010
Accepted manuscript online:

PACS:	02.10.Yn	(Matrix theory)
	07.05.Dz	(Control systems)

Fund: 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).

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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 2010 Chin. Phys. B 19 110512

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

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