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International Symposium on Neural Networks

ISNN 2009: Advances in Neural Networks – ISNN 2009 pp 450–454Cite as

Memory State Feedback Stabilization for Time-Varying Delayed Neural Networks Systems

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

Abstract

In order to improve speed of dynamic response, this paper studied the memory state feedback stabilization for time-varying delayed neural networks systems. By using the second method of Lyapunov, the state feedback controller is given to ensure that the system is asymptotically stable. The related theories are expressed in terms of linear matrix inequalities (LMIs). An example is given to illustrate the effectiveness of the proposed criterion. The simulation results show that this method has excellent control effect.

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Author information

Authors and Affiliations

  1. Dalian Maritime University, Dalian, 116026, China

    Aijun Zhou, Guang Ren & Yuan Zhang

  2. Dalian Naval Academy, Dalian, 116018, China

    Aijun Zhou, Shubo Liu & Yuan Zhang

Authors
  1. Aijun Zhou
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  2. Guang Ren
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  3. Shubo Liu
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  4. Yuan Zhang
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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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Zhou, A., Ren, G., Liu, S., Zhang, Y. (2009). Memory State Feedback Stabilization for Time-Varying Delayed Neural Networks Systems. 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_52

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_52

  • 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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