This chapter studies the asymptotic stabilityStability|( of complex-valued neural networks (CVNNs) with constant delayConstant delay. By separating complex-valued neural networks into real and imaginary parts, forming an equivalent real-valued system, and constructing appropriate Lyapunov functionalLyapunov functional, we will provide a delay-independentDelay-independent sufficient criterion to ascertain the existence, uniqueness, and globally asymptotical stability of the equilibrium pointEquilibrium point|( of the considered system, which is in terms of linear matrix inequalityLinear Matrix Inequality (LMI) (LMI). Meanwhile, the errors in the recent work are pointed out, and even if the result therein is correct, it is shown that our result not only improves, but also generalizes in that work.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stability Criterion for CVNNs with Constant Delay


    Weitere Titelangaben:

    Intelligent Control & Learning Systems


    Beteiligte:
    Zhang, Ziye (Autor:in) / Wang, Zhen (Autor:in) / Chen, Jian (Autor:in) / Lin, Chong (Autor:in)


    Erscheinungsdatum :

    06.11.2022


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Further Stability Analysis for CVNNs with Constant Delay

    Zhang, Ziye / Wang, Zhen / Chen, Jian et al. | Springer Verlag | 2022


    Hopf Bifurcation Analysis for CVNNs with Discrete and Distributed Delays

    Zhang, Ziye / Wang, Zhen / Chen, Jian et al. | Springer Verlag | 2022



    Finite-Time Stability Analysis for CVBAMNNs with Constant Delay

    Zhang, Ziye / Wang, Zhen / Chen, Jian et al. | Springer Verlag | 2022


    Delay‐dependent stability criterion for discrete‐time systems with time‐varying delays

    Hua, Changchun / Wu, Shuangshuang / Bai, Zhenhua et al. | British Library Online Contents | 2017