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10 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Stability of Neural Networks with Both Impulses and Time-Varying Delays on Time Scale

    In this paper, the stability of neural networks with both impulses and time-varying delays on time scale is investigated, the existence of Delta derivative of time-varying delays is not assumed. By employing t...

    Yupei Lv, Bo Zhou, Qiankun Song in Advances in Neural Networks – ISNN 2011 (2011)

  2. No Access

    Chapter and Conference Paper

    Anti-periodic Solutions for High-Order Neural Networks with Mixed Time Delays

    In the paper, the problem on the stability of anti-periodic solutions is investigated for high-order neural networks with discrete and distributed time delays. Several sufficient conditions for checking the ex...

    **aofeng Chen, Qiankun Song in Advances in Neural Networks – ISNN 2011 (2011)

  3. No Access

    Chapter and Conference Paper

    Synchronization of Nonidentical Chaotic Neural Networks with Time-Varying Delays

    In this paper, the problem on synchronization of two nonidentical chaotic neural networks with time-varying delays is investigated. By constructing a proper sliding surface, and employing a combination of the ...

    Qiankun Song in Advances in Neural Networks – ISNN 2011 (2011)

  4. No Access

    Chapter and Conference Paper

    Cluster Synchronization for Discrete-Time Complex Networks

    This paper investigates cluster synchronization in discrete-time complex networks with both discrete and distributed time-varying delays. By utilizing a special coupling matrix and the Kronecker product, it is...

    Huiwei Wang, Qiankun Song in Advances in Neural Networks – ISNN 2011 (2011)

  5. No Access

    Chapter and Conference Paper

    Invariant Set and Attractor of Discrete-Time Impulsive Recurrent Neural Networks

    In this paper, we study the invariant set and attractor of the discrete-time impulsive recurrent neural networks (DIRNNs). By using a powerful delay difference inequality and properties of nonnegative matrices...

    Bing Li, Qiankun Song in Advances in Neural Networks – ISNN 2011 (2011)

  6. No Access

    Chapter and Conference Paper

    Global Passivity of Stochastic Neural Networks with Time-Varying Delays

    In this paper, the passivity problem is investigated for a class of stochastic neural networks with time-varying delays as well as generalized activation functions. By employing a combination of Lyapunov funct...

    **ming Liang, Qiankun Song in Advances in Neural Networks – ISNN 2009 (2009)

  7. No Access

    Chapter and Conference Paper

    Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays

    In this paper, the problem on impulsive exponential synchronization is investigated for coupled fuzzy neural networks with time-varying delays. Based on M-matrix theory and analytic methods, a sufficient conditio...

    Jianting Zhou, Qiankun Song, Jianxi Yang in Advances in Neural Networks – ISNN 2009 (2009)

  8. No Access

    Chapter and Conference Paper

    Passivity Analysis of Neural Networks with Time-Varying Delays of Neutral Type

    In this paper, the passivity is investigated for neural networks with time-varying delays of neutral type and generalized activation functions. By using Lyapunov method, Newton-Leibniz formulation and linear m...

    Jianqin Wang, Qiankun Song in Advances in Neural Networks – ISNN 2009 (2009)

  9. No Access

    Chapter and Conference Paper

    Novel LMI Criteria for Stability of Neural Networks with Distributed Delays

    In this paper, the global asymptotic and exponential stability are investigated for a class of neural networks with distributed time-varying delays. By using appropriate Lyapunov-Krasovskii functional and line...

    Qiankun Song, Jianting Zhou in Advances in Neural Networks – ISNN 2007 (2007)

  10. No Access

    Chapter and Conference Paper

    Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms

    The global exponential stability is discussed for a general class of recurrent neural networks with infinite time-varying delays and reaction-diffusion terms. Several new sufficient conditions are obtained to ...

    Qiankun Song, Zhenjiang Zhao, Xuedong Chen in Advances in Neural Networks – ISNN 2005 (2005)