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Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time‐Varying Delays via Sampled‐Data Control

Author

Listed:
  • Ting Lei
  • Qiankun Song
  • Zhenjiang Zhao
  • Jianxi Yang

Abstract

This paper investigates the synchronization problem for neural networks with leakage delay and both discrete and distributed time‐varying delays under sampled‐data control. By employing the Lyapunov functional method and using the matrix inequality techniques, a delay‐dependent LMIs criterion is given to ensure that the master systems and the slave systems are synchronous. An example with simulations is given to show the effectiveness of the proposed criterion.

Suggested Citation

  • Ting Lei & Qiankun Song & Zhenjiang Zhao & Jianxi Yang, 2013. "Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time‐Varying Delays via Sampled‐Data Control," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:290574
    DOI: 10.1155/2013/290574
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    References listed on IDEAS

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    1. Park, Ju H., 2009. "Synchronization of cellular neural networks of neutral type via dynamic feedback controller," Chaos, Solitons & Fractals, Elsevier, vol. 42(3), pages 1299-1304.
    2. T. Botmart & W. Weera, 2013. "Guaranteed Cost Control for Exponential Synchronization of Cellular Neural Networks with Mixed Time‐Varying Delays via Hybrid Feedback Control," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    3. T. Botmart & W. Weera, 2013. "Guaranteed Cost Control for Exponential Synchronization of Cellular Neural Networks with Mixed Time-Varying Delays via Hybrid Feedback Control," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-12, March.
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    Cited by:

    1. Xiaofeng Chen & Qiankun Song & Yurong Liu & Zhenjiang Zhao, 2014. "Global μ‐Stability of Impulsive Complex‐Valued Neural Networks with Leakage Delay and Mixed Delays," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

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