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Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays

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Book cover Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

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Abstract

In this paper, the finite time boundedness (FTB) for certain and uncertain neutral type neural networks are investigated. The concept of FTB for time delay system is extended first. Then, based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some sufficient conditions are derived to guarantee FTB, and our results are less conservative than exiting results. Finally, some examples are given to demonstrate the effectiveness and improvement of the proposed results.

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Author information

Authors and Affiliations

  1. Institute of Nonlinear and Complex Systems, China Three Gorges University, Yichang, 443002, China

    Jianfeng Wang, Jigui Jian & Peng Yan

Authors
  1. Jianfeng Wang
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  2. Jigui Jian
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  3. Peng Yan
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07030, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, Rapid City, SD 57701, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Wang, J., Jian, J., Yan, P. (2009). Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_46

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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