Literature DB >> 24084030

Exponential passivity of memristive neural networks with time delays.

Ailong Wu1, Zhigang Zeng.   

Abstract

Memristive neural networks are studied across many fields of science. To uncover their structural design principles, the paper introduces a general class of memristive neural networks with time delays. Passivity analysis is conducted by constructing suitable Lyapunov functional. The analysis in the paper employs the results from the theories of nonsmooth analysis and linear matrix inequalities. A numerical example is provided to illustrate the effectiveness and less conservatism of the proposed results. Crown
Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Keywords:  Exponential passivity; Hybrid systems; Memristive neural networks

Mesh:

Year:  2013        PMID: 24084030     DOI: 10.1016/j.neunet.2013.09.002

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  2 in total

1.  Passivity of memristor-based BAM neural networks with different memductance and uncertain delays.

Authors:  R Anbuvithya; K Mathiyalagan; R Sakthivel; P Prakash
Journal:  Cogn Neurodyn       Date:  2016-04-27       Impact factor: 5.082

2.  Enhanced robust finite-time passivity for Markovian jumping discrete-time BAM neural networks with leakage delay.

Authors:  C Sowmiya; R Raja; Jinde Cao; G Rajchakit; Ahmed Alsaedi
Journal:  Adv Differ Equ       Date:  2017-10-10
  2 in total

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