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Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects

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Abstract

This paper focuses on the hybrid effects of stochastic perturbation, system switching, state delays and impulses on neural networks. Based on the Lyapunov functional method, switching analysis techniques, the comparison principle and a new impulsive delay differential inequality, we derive some sufficient conditions which depend on delay and impulses to guarantee the exponential synchronization of the coupling delay switching recurrent neural networks with stochastic perturbation. Simulation results finally demonstrate the effectiveness of the theoretical results.

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Acknowledgments

This publication was made possible by NPRP grant \(\sharp\) NPRP 4-1162-1-181 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. This work was also supported by Natural Science Foundation of China (grant no: 61374078)

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Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, 400044, PR China

    Wei Zhang, Chuandong Li & Jiangtao Qi

  2. Department of Mathematics, Texas A & M University at Qatar, Education City , Qatar

    Tingwen Huang

Authors
  1. Wei Zhang
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  2. Chuandong Li
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  3. Tingwen Huang
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  4. Jiangtao Qi
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Correspondence to Chuandong Li.

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Zhang, W., Li, C., Huang, T. et al. Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects. Neural Comput & Applic 25, 1275–1283 (2014). https://doi.org/10.1007/s00521-014-1608-y

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  • DOI: https://doi.org/10.1007/s00521-014-1608-y

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