2020
DOI: 10.1016/j.aej.2020.01.030
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Analysis of some generalized ABC – Fractional logistic models

Abstract: In this article, some logistic models in the settings of Caputo fractional operators with multi-parametered Mittag-Leffler kernels (ABC) are studied. This study mainly focuses on modified quadratic and cubic logistic models in the presence of a Caputo type fractional derivative. Existence and uniqueness theorems are proved and stability analysis is discussed by perturbing the equilibrium points. Numerical illustrative examples are discussed for the studied models.

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Cited by 55 publications
(21 citation statements)
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References 27 publications
(40 reference statements)
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“…Since for the nonlinear problems mostly it is difficult to find their exact solution. Therefore various numerical procedures (methods) have been constructed in literature to deal such like problem, see [31] , [32] , [33] , [34] , [35] , [36] , [41] , [46] . Therefore a famous Haar collocation method is applied to simulate the results via the use of Matlab-16.…”
Section: Introductionmentioning
confidence: 99%
“…Since for the nonlinear problems mostly it is difficult to find their exact solution. Therefore various numerical procedures (methods) have been constructed in literature to deal such like problem, see [31] , [32] , [33] , [34] , [35] , [36] , [41] , [46] . Therefore a famous Haar collocation method is applied to simulate the results via the use of Matlab-16.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is meaningful to study the proposed TB model in feasible region . For the upcoming results, we suggest the readers some recent related results for the stabilities and numerical techniques given in [23][24][25][26][27][28][29].…”
Section: Lemma 22mentioning
confidence: 99%
“…Particularly, with the revolution in computer technology and symbolic programming, many new algorithms are proposed by many mathematicians, engineers and physicists. With the help of these techniques, many researchers analyze various classes of nonlinear systems and present some simulating results [12–56]. For instance, authors in [34, 35] studied logistic models within the frame of FC and illustrated some interesting consequences.…”
Section: Introductionmentioning
confidence: 99%