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Stability Analysis of Fractional-Order Bidirectional Associative Memory Neural Networks with Mixed Time-Varying Delays

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  • Zhanying Yang
  • Jie Zhang

Abstract

This paper studies the stability analysis of fractional-order bidirectional associative memory neural networks with mixed time-varying delays. The orders of these systems lie in the interval . Firstly, a sufficient condition is derived to ensure the finite-time stability of systems by resorting to some analytical techniques and some elementary inequalities. Next, a sufficient condition is obtained to guarantee the global asymptotic stability of systems based on the Laplace transform, the mean value theorem, the generalized Gronwall inequality, and some properties of Mittag–Leffler functions. In particular, these obtained conditions are expressed as some algebraic inequalities which can be easily calculated in practical applications. Finally, some numerical examples are given to verify the feasibility and effectiveness of the obtained main results.

Suggested Citation

  • Zhanying Yang & Jie Zhang, 2019. "Stability Analysis of Fractional-Order Bidirectional Associative Memory Neural Networks with Mixed Time-Varying Delays," Complexity, Hindawi, vol. 2019, pages 1-22, October.
    • Handle: RePEc:hin:complx:2363707
    DOI: 10.1155/2019/2363707
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    References listed on IDEAS

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    1. Hai Zhang & Renyu Ye & Song Liu & Jinde Cao & Ahmad Alsaedi & Xiaodi Li, 2018. "LMI-based approach to stability analysis for fractional-order neural networks with discrete and distributed delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(3), pages 537-545, February.
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    3. Yuping Cao & Chuanzhi Bai, 2014. "Finite-Time Stability of Fractional-Order BAM Neural Networks with Distributed Delay," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-8, April.
    4. Hai Zhang & Renyu Ye & Jinde Cao & Ahmed Alsaedi, 2017. "Existence and Globally Asymptotic Stability of Equilibrium Solution for Fractional-Order Hybrid BAM Neural Networks with Distributed Delays and Impulses," Complexity, Hindawi, vol. 2017, pages 1-13, September.
    5. Zhang, Chaolong & Deng, Feiqi & Peng, Yunjian & Zhang, Bo, 2015. "Adaptive synchronization of Cohen–Grossberg neural network with mixed time-varying delays and stochastic perturbation," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 792-801.
    6. Xujun Yang & Qiankun Song & Yurong Liu & Zhenjiang Zhao, 2014. "Uniform Stability Analysis of Fractional-Order BAM Neural Networks with Delays in the Leakage Terms," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-16, June.
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    Cited by:

    1. Du, Feifei & Lu, Jun-Guo, 2021. "New approach to finite-time stability for fractional-order BAM neural networks with discrete and distributed delays," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).

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