Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Bandana Priya"'
Publikováno v:
AIMS Mathematics, Vol 6, Iss 4, Pp 3205-3241 (2021)
This article, we explore the stability analysis of stochastic fractional-order competitive neural networks with leakage delay. The main objective of this paper is to establish a new set of sufficient conditions, which is for the uniform stability in
Externí odkaz:
https://doaj.org/article/4de095fae43e46a1a0828d90939342a3
Autor:
Shanmugam Saravanan, M. Syed Ali, Grienggrai Rajchakit, Bussakorn Hammachukiattikul, Bandana Priya, Ganesh Kumar Thakur
Publikováno v:
Complexity, Vol 2021 (2021)
The problem of finite-time stability of switched genetic regulatory networks (GRNs) with time-varying delays via Wirtinger’s integral inequality is addressed in this study. A novel Lyapunov–Krasovskii functional is proposed to capture the dynamic
Externí odkaz:
https://doaj.org/article/a0568d3c2ca04b54b44a6f6e38aafbd1
Autor:
Bandana Priya, Ganesh Kumar Thakur, M. Syed Ali, Gani Stamov, Ivanka Stamova, Pawan Kumar Sharma
Publikováno v:
Fractal and Fractional, Vol 6, Iss 7, p 368 (2022)
This study investigates the problem of finite-time boundedness of a class of neural networks of Caputo fractional order with time delay and uncertain terms. New sufficient conditions are established by constructing suitable Lyapunov functionals to en
Externí odkaz:
https://doaj.org/article/215f4ddc026a4e6896dee31ce07f9344
Publikováno v:
IEEE Transactions on Network Science and Engineering. 10:698-708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e21a626660cf7076f7e6d5568a1a5061
https://doi.org/10.1109/tnse.2022.3217618
https://doi.org/10.1109/tnse.2022.3217618
Publikováno v:
International Journal of Adaptive Control and Signal Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3504cda0749d0f11ec6539f8081d56ad
https://doi.org/10.1002/acs.3625
https://doi.org/10.1002/acs.3625
Publikováno v:
International Journal of Computer Mathematics. 99:1669-1686
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0128df2bf5b457f5617a3fb97177c3b5
https://doi.org/10.1080/00207160.2021.1999428
https://doi.org/10.1080/00207160.2021.1999428
Publikováno v:
Chinese Journal of Physics. 74:184-194
In this paper, stability for a class of stochastic memristor Cohen–Grossberg BAM neural networks with time-varying delays and reaction–diffusion are considered. A set of novel sufficient conditions on p th moment exponential stability of the equi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732e81ecf4cd6067c31c0fec1b668ea2
https://doi.org/10.1016/j.cjph.2021.06.027
https://doi.org/10.1016/j.cjph.2021.06.027
Publikováno v:
Mathematical Methods in the Applied Sciences. 45:561-574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fe373bd7bff08d14869b6435d52c70d
https://doi.org/10.1002/mma.7797
https://doi.org/10.1002/mma.7797
Publikováno v:
Mathematics and Computers in Simulation. 185:468-485
In this paper, we investigate finite-time stability analysis of fractional-order memristive fuzzy cellular neural networks(MFFCNNs) with time delay and leakage term. MFFCNNs are formulated by virtue of differential inclusion and set-valued map theori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e41413dd92e772da1f746a40ef02d1ee
https://doi.org/10.1016/j.matcom.2020.12.035
https://doi.org/10.1016/j.matcom.2020.12.035
Publikováno v:
AIMS Mathematics, Vol 6, Iss 4, Pp 3205-3241 (2021)
This article, we explore the stability analysis of stochastic fractional-order competitive neural networks with leakage delay. The main objective of this paper is to establish a new set of sufficient conditions, which is for the uniform stability in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::141e56ceb180e1eb6899eb11c732c267
https://doi.org/10.3934/math.2021193
https://doi.org/10.3934/math.2021193