scholarly journals A fractional-order model describing the dynamics of the novel coronavirus (COVID-19) with nonsingular kernel

2021 ◽  
Vol 146 ◽  
pp. 110859
Author(s):  
Ahmed Boudaoui ◽  
Yacine El hadj Moussa ◽  
Zakia Hammouch ◽  
Saif Ullah
2020 ◽  
Vol 101 (1) ◽  
pp. 711-718 ◽  
Author(s):  
Karthikeyan Rajagopal ◽  
Navid Hasanzadeh ◽  
Fatemeh Parastesh ◽  
Ibrahim Ismael Hamarash ◽  
Sajad Jafari ◽  
...  

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
S. Ahmad ◽  
A. Ullah ◽  
K. Shah ◽  
S. Salahshour ◽  
A. Ahmadian ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
pp. 35-46
Author(s):  
F.A. Adie ◽  
G.I. Ogban ◽  
S.E. Ekoro ◽  
O. Joseph ◽  
A.E. Ofem

This paper presents a fixed point iteration method for approximating the solution of a fractional order model of novel coronavirus (COVID-2019) under Caputo--Fabrizio derivative in Banach spaces. Our result is new and complements some existing results in the literature.


2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Karthikeyan Rajagopal ◽  
Anitha Karthikeyan ◽  
Prakash Duraisamy

AbstractIn this paper we investigate the control of three-dimensional non-autonomous fractional-order uncertain model of a permanent magnet synchronous generator (PMSG) via a adaptive control technique. We derive a dimensionless fractional order model of the PMSM from the integer order presented in the literatures. Various dynamic properties of the fractional order model like eigen values, Lyapunov exponents, bifurcation and bicoherence are investigated. The system chaotic behavior for various orders of fractional calculus are presented. An adaptive controller is derived to suppress the chaotic oscillations of the fractional order model. As the direct Lyapunov stability analysis of the robust controller is difficult for a fractional order first derivative, we have derived a new lemma to analyze the stability of the system. Numerical simulations of the proposed chaos suppression methodology are given to prove the analytical results derived through which we show that for the derived adaptive controller and the parameter update law, the origin of the system for any bounded initial conditions is asymptotically stable.


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