Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Govindasamy Narayanan"'
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
Autor:
N. Boonsatit, Govindasamy Narayanan, Pankaj Kumar, Irshad Alam, M. Syed Ali, Grienggrai Rajchakit, Porpattama Hammachukiattikul
Publikováno v:
IEEE Access, Vol 9, Pp 130862-130883 (2021)
This paper addresses an adaptive fuzzy feedback controller design problem for finite-time Mittag-Leffler synchronization (FTMLS) of fractional-order quaternion-valued reaction-diffusion T-S fuzzy molecular modeling of delayed neural networks. A novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14c48655d8e48f439a6412d22912add
https://ieeexplore.ieee.org/document/9541153/
https://ieeexplore.ieee.org/document/9541153/
Publikováno v:
Neural Networks. 130:60-74
In this paper we investigate controller design problem for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks (FMCVBAMNNs) with uncertain parameters and time-varying delays. By using the Lyapuno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::541665a7fd3e90ae073dcd66efe29724
https://doi.org/10.1016/j.neunet.2020.06.021
https://doi.org/10.1016/j.neunet.2020.06.021
Publikováno v:
Neural Processing Letters. 51:407-426
In this paper, finite time stability analysis of fractional-order complex-valued memristive neural networks with proportional delays is investigated. Under the framework of Filippov solution and differential inclusion theory, by using H$$\ddot{o}$$ld
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d2270cf6fb8270da914df3b7e0ac2e6
https://doi.org/10.1007/s11063-019-10097-7
https://doi.org/10.1007/s11063-019-10097-7
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 83:105088
This paper investigates the stability of impulsive fractional-order complex-valued BAM neural networks with time varying delays. As the extension of fractional-order real-valued BAM neural networks, fractional-order complex-valued BAM neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::825ca733edb3c4ddec6d8aa861836b9c
https://doi.org/10.1016/j.cnsns.2019.105088
https://doi.org/10.1016/j.cnsns.2019.105088
Publikováno v:
Applied Mathematics and Computation. 369:124896
This paper deals with the uniform stability in mean square of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms. By employing the ideas of Cauchy–Schwartz inequality, Burkholder–Davis–Gundy inequality,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89265e0b2926360dca05a4918df40a9c
https://doi.org/10.1016/j.amc.2019.124896
https://doi.org/10.1016/j.amc.2019.124896
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 78:104853
In this paper, the impulsive effects on the stability equilibrium solution for Riemann–Liouville fractional-order fuzzy BAM neural networks with time delay are investigated. Firstly, some sufficient conditions are derived for assuring the global as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc3a5b298842ca1a230c41a23e1203d
https://doi.org/10.1016/j.cnsns.2019.104853
https://doi.org/10.1016/j.cnsns.2019.104853