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Function projective synchronization of impulsive neural networks with mixed time-varying delays

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Abstract

In this paper, the exponential function projective synchronization of impulsive neural networks with mixed time-varying delays is investigated. Based on the contradiction method and analysis technique, some novel criteria are obtained to guarantee the function projective synchronization of considered networks via combining open-loop control and linear feedback control. As some special cases, several control strategies are given to ensure the realization of complete synchronization, anti-synchronization, and the stabilization of the addressed neural networks. Finally, two examples and their numerical simulations are given to show the effectiveness and feasibility of the proposed synchronization schemes.

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Authors and Affiliations

  1. College of Mathematics and System Sciences, Xinjiang University, Ürūmqi, 830046, Xinjiang, P. R. China

    Abdujelil Abdurahman, Haijun Jiang & Zhidong Teng

Authors
  1. Abdujelil Abdurahman
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  2. Haijun Jiang
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  3. Zhidong Teng
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Corresponding author

Correspondence to Haijun Jiang.

Additional information

This work was supported by the Excellent Doctor Innovation Program of Xinjiang University (Grant No. XJUBSCX-2013006) and the National Natural Science Foundation of P.R. China (Grant No. 61164004).

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Abdurahman, A., Jiang, H. & Teng, Z. Function projective synchronization of impulsive neural networks with mixed time-varying delays. Nonlinear Dyn 78, 2627–2638 (2014). https://doi.org/10.1007/s11071-014-1614-8

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  • DOI: https://doi.org/10.1007/s11071-014-1614-8

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