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Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses

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Advances in Neural Networks - ISNN 2017 (ISNN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10262))

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Abstract

In this paper, the stability of neutral T-S fuzzy neural networks with impulses is considered. By extending a singular impulsive differential inequality to the fuzzy version, some new criteria are established for the exponential stability of network under consideration. The results obtained improve some related works in previous literature. A numerical example is given to illustrate the effectiveness of the theoretical methods.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 11501065, the Natural Science Foundation of Chongqing under Grant cstc2015jcyjA00033, the Scientific Research Fund of Sichuan Provincial Education Department under Grant 16TD0029, the Natural Science Foundation of Chongqing Municipal Education Commission under Grants KJ1600504 and KJ1705138, the Research Foundation of Chongqing Jiaotong University under Grant 2014kjc-II-019, and the Project of Leshan Normal University under Grant Z1324.

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Authors and Affiliations

  1. College of Mathematics and Information Science, Leshan Normal University, Leshan, 614004, China

    Shujun Long

  2. College of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, 400074, China

    Bing Li

Authors
  1. Shujun Long
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  2. Bing Li
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Corresponding author

Correspondence to Bing Li .

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Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Fengyu Cong

  2. City University of Hong Kong, Kowloon Tong, Hong Kong

    Andrew Leung

  3. Chinese Academy of Sciences, Beijing, China

    Qinglai Wei

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Long, S., Li, B. (2017). Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10262. Springer, Cham. https://doi.org/10.1007/978-3-319-59081-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-59081-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59080-6

  • Online ISBN: 978-3-319-59081-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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