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Adaptive Exponential Synchronization of Stochastic Delay Neural Networks with Reaction-Diffusion

  • Conference paper
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 the paper, adaptive exponential synchronization scheme for a class of reaction-diffusion neural networks with continuously distributed delays and stochastic influence are considered. An adaptive synchronization controller is derived to achieve the exponential synchronization of the drive-response structure of neural networks. Lyapunov stability theory, stochastic Fubini theorem and semimartingale theorem are used in our approach. It is shown that the approaches developed here extend and improve the ideas presented in recent literatures.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics , School of Mathematics and Information Science, Guangzhou University, Guangzhou, Guangdong, 510006, China

    Birong Zhao

  2. Control of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, China

    Feiqi Deng

Authors
  1. Birong Zhao
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  2. Feiqi Deng
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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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Zhao, B., Deng, F. (2009). Adaptive Exponential Synchronization of Stochastic Delay Neural Networks with Reaction-Diffusion. 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_63

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_63

  • 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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