Autors: Stamov, T. G., Stamova, I.M., Stamov, G. T., Venkov, G. P., Spirova, C. V.
Title: Global stability of integral manifolds for reaction-diffusion Cohen-Grossberg-type delayed neural networks with variable impulsive perturbations
Keywords: integral manifolds; Cohen–Grossberg-type neural networks; delays; reaction–diffusion terms; variable impulsive perturbations; boundedness; stability

References

    Issue

    Mathematics (MDPI), vol. 8, 2020, Sweden, DOI 10.3390/math8071082

    Цитирания (Citation/s):
    1. Stamov, G., Gospodinova, E., & Stamova, I. (2021). Practical exponential stability with respect to $ h-$ manifolds of discontinuous delayed Cohen–Grossberg neural networks with variable impulsive perturbations. Math. Model. Control, 1, 26-34. - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Napole, C., Barambones, O., Derbeli, M., Calvo, I., Silaa, M. Y., & Velasco, J. (2021). High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks. Mathematics, 9(3), 244. - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Stamova, I., Sotirov, S., Sotirova, E., & Stamov, G. (2021). Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis. Fractal and Fractional, 5(3), 78. - 2021 - в издания, индексирани в Scopus или Web of Science

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