Оригинал (Original)
Автори: Стамов, Г. Т., Стамов, Т. Г.
Заглавие: On the stability with respect to manifolds of reaction-diffusion impulsive control fractional-order neural networks with time-varying delays
Ключови думи: integer-order reaction-diffusion neural networks

Абстракт: This paper investigates the stability with respect to manifolds of general type of fractional-order reaction-diffusion neural networks with time-varying delays under impulsive control. First, the impulsive control fractional reaction-diffusion neural- network model is designed and the manifold technique is adapted to it. Then, the Lyapunov function method is applied to derive new stability sufficient conditions.

Библиография

    Издание

    AIP Conference Proceedings, том 2333, стр. стр. 060004, 2021, САЩ, AIP Publishing LLC
    		Autors: Stamov, G. T., Stamov, T. G.
    Title: On the stability with respect to manifolds of reaction-diffusion impulsive control fractional-order neural networks with time-varying delays
    Keywords: integer-order reaction-diffusion neural networks

    Abstract: This paper investigates the stability with respect to manifolds of general type of fractional-order reaction-diffusion neural networks with time-varying delays under impulsive control. First, the impulsive control fractional reaction-diffusion neural- network model is designed and the manifold technique is adapted to it. Then, the Lyapunov function method is applied to derive new stability sufficient conditions.

    References

      Issue

      AIP Conference Proceedings, vol. 2333, pp. 060004, 2021, United States, AIP Publishing LLC

      Цитирания (Citation/s):
      1. Exponential Synchronization of Nonlinear Interconnected Reaction-Diffusion Memristive NNs under Stochastic Cyber Attacks via Pointwise Control - 2021 - в издания, индексирани в Scopus или Web of Science
      2. Extended Stability and Control Strategies for Impulsive and Fractional Neural Networks: A Review of the Recent Results - 2023 - в издания, индексирани в Scopus или Web of Science

      Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science