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Further Results on Finite-Time Stability of Switched Static Neural Networks

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Cloud Computing and Security (ICCCS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10602))

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Abstract

This paper deals with the finite-time stability problem for switched static neural networks with time-varying delay. By employing the Lyapunov-like functional method and the average dwell time approach, a sufficient criterion is obtained, which can guarantee the finite-time stability of the concerned networks. Moreover, the derived conditions can be simplified into linear matrix inequalities conditions for convenient use. Finally, a numerical example is given to show the validity of the proposed results.

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Acknowledgments

This work was funded by the National Natural Science Foundation of China under Grants 61603350 and 61501407.

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Authors and Affiliations

  1. College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Zhihua Diao, Chunying Diao, Xiaoliang Qian & Yuanyuan Wu

Authors
  1. Zhihua Diao
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  2. Chunying Diao
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  3. Xiaoliang Qian
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  4. Yuanyuan Wu
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Corresponding author

Correspondence to Yuanyuan Wu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Diao, Z., Diao, C., Qian, X., Wu, Y. (2017). Further Results on Finite-Time Stability of Switched Static Neural Networks. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_44

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  • DOI: https://doi.org/10.1007/978-3-319-68505-2_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68504-5

  • Online ISBN: 978-3-319-68505-2

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