Autors: Stamov, T. G., Stamova, I.M.
Title: Impulsive control via variable impulsive perturbations on a generalized robust stability for Cohen–Grossberg neural networks with mixed delays
Keywords: Recent Advances on Hybrid Complex Networks: Analysis and Con

References

    Issue

    IEEE Access, vol. 8, 2020, United States, DOI 10.1109/ACCESS.2020.3044191

    Цитирания (Citation/s):
    1. Practical exponential stability with respect to manifolds of discontinuous delayed Cohen–Grossberg neural networks with variable impulsive perturbations - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Exponential stability of nonlinear state-dependent delayed impulsive systems with applications - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis - 2021 - в издания, индексирани в Scopus или Web of Science
    4. Neural Networks in Engineering Design: Robust Practical Stability Analysis - 2021 - в издания, индексирани в Scopus или Web of Science
    5. Practical stability for fractional impulsive control systems with noninstantaneous impulses on networks - 2022 - в издания, индексирани в Scopus или Web of Science
    6. Almost sure stability of stochastic neutral Cohen–Grossberg neural networks with Lévy noise and time‐varying delays - 2022 - в издания, индексирани в Scopus или Web of Science
    7. Almost sure stability of stochastic neutral Cohen–Grossberg neural networks with Lévy noise and time‐varying delays - 2023 - в издания, индексирани в Scopus или Web of Science
    8. Lyapunov approach to manifolds stability for impulsive Cohen–Grossberg-type conformable neural network models - 2023 - в издания, индексирани в Scopus или Web of Science
    9. Novel order-dependent passivity conditions of fractional generalized Cohen–Grossberg neural networks with proportional delays - 2023 - в издания, индексирани в Scopus или Web of Science
    10. 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