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International Symposium on Neural Networks

ISNN 2004: Advances in Neural Networks – ISNN 2004 pp 44–48Cite as

Stability Analysis of Uncertain Neural Networks with Delay

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

Abstract

The globally uniformly asymptotic stability of uncertain neural networks with time delay has been discussed in this paper.Using the Razumikhin-type theory and matrix analysis method, A sufficient criterion about globally asymptotic stability of the neural networks is obtained.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, ZhongYuan Institute of Technology, Henan, Zhengzhou, P. R. China, 450007

    Zhongsheng Wang

  2. Department of Basic Courses, Naval University of Engineering, Hubei, Wuhan, P. R. China, 430033

    Hanlin He

  3. Department of Control Science and Engineering, Huazhong University of Science and Technology, Hubei, Wuhan, P. R. China, 430074

    Xiaoxin Liao

Authors
  1. Zhongsheng Wang
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  2. Hanlin He
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  3. Xiaoxin Liao
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, Z., He, H., Liao, X. (2004). Stability Analysis of Uncertain Neural Networks with Delay. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_8

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

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