Zobrazeno 1 - 8
of 8
pro vyhledávání: '"C. J. Zúñiga-Aguilar"'
Autor:
Fawaz E. Alsaadi, José Francisco Gómez-Aguilar, C. J. Zúñiga-Aguilar, H. M. Romero-Ugalde, Hadi Jahanshahi
Publikováno v:
Engineering with Computers. 38:3085-3108
Neuronal networks are used in different fields of science and technology due to their capacity to approximate nonlinear functions through the synaptic weights optimization. This work shows a new form of optimization for neuronal networks based in fra
Autor:
Fawaz E. Alsaadi, Ricardo Fabricio Escobar-Jiménez, H. M. Romero-Ugalde, C. J. Zúñiga-Aguilar, Guillermo Fernández-Anaya, José Francisco Gómez-Aguilar
Publikováno v:
Engineering with Computers. 38:2669-2682
In this work, a methodology based on a neural network to solve fractal-fractional differential equations with a nonsingular and nonlocal kernel is proposed, the neural network is optimized by the Levenberg–Marquardt algorithm. For evaluating the ne
Autor:
Ricardo Fabricio Escobar-Jiménez, H. M. Romero-Ugalde, C. J. Zúñiga-Aguilar, José Francisco Gómez-Aguilar
Publikováno v:
Chaos, Solitons & Fractals. 126:266-282
In this work, we present a novel numerical method based on the fundamental theorem of fractional calculus and the Lagrange polynomial interpolation to solve numerically fractional delay differential equations. We focus on the fractional derivative wi
Autor:
H. M. Romero-Ugalde, Ricardo Fabricio Escobar-Jiménez, L.F. Ávalos-Ruiz, C. J. Zúñiga-Aguilar, José Francisco Gómez-Aguilar
Publikováno v:
Chaos, Solitons & Fractals. 115:177-189
This paper presents the simulation and control implementation on a Field Programmable Gate Array (FPGA) for a class of variable-order fractional chaotic systems by using sliding mode control strategy. Four different fractional variable-order chaotic
Autor:
Ricardo Fabricio Escobar-Jiménez, H. M. Romero-Ugalde, C. J. Zúñiga-Aguilar, Martin Valtierra-Rodriguez, José Francisco Gómez-Aguilar
Publikováno v:
Chaos, Solitons & Fractals. 103:382-403
In this paper, we approximate the solution of fractional differential equations using a new approach of artificial neural network. We consider fractional differential equations of variable-order with Mittag-Leffler kernel in Liouville–Caputo sense.
Autor:
H. M. Romero-Ugalde, C. J. Zúñiga-Aguilar, José Francisco Gómez-Aguilar, A. Coronel-Escamilla, V.M. Alvarado-Martínez
Publikováno v:
The European Physical Journal Plus. 133
In this paper, we approximate the solution of fractional differential equations with delay using a new approach based on artificial neural networks. We consider fractional differential equations of variable order with the Mittag-Leffler kernel in the
Autor:
H. M. Romero-Ugalde, C. J. Zúñiga-Aguilar, José Francisco Gómez-Aguilar, Ricardo Fabricio Escobar-Jiménez
Publikováno v:
The European Physical Journal Plus. 133
This paper investigates the chaos control for a class of variable-order fractional chaotic systems using robust control strategy. The variable-order fractional models of the non-autonomous biological system, the King Cobra chaotic system, the Halvors