Cesar Felipe Juarez
Instituto Politécnico Nacional
5 Papers
32 Citations
Cesar Felipe Juarez is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Regulator & Gradient descent. The author has an hindex of 4, co-authored 5 publications.
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Papers
Stabilization of Two Electricity Generators
Dany Ivan Martinez,José de Jesús Rubio,Arturo Aguilar,Jaime Pacheco,Guadalupe Juliana Gutierrez,Victor Garcia,Tomás Vargas,Genaro Ochoa,David Ricardo Cruz,Cesar Felipe Juarez +9 more
TL;DR: A sliding mode regulator with sine mapping is suggested for the stabilization of electricity generators being affected by magnet interaction non linearities and generator nonlinearities and its stabilization is ensured based on the Lyapunov approach.
Sliding Mode Regulator for the Perturbations Attenuation in Two Tank Plants
TL;DR: A sliding mode regulator is recommended for the perturbations attenuation in the plant output and states that does not employ an observer for theperturbations estimation; consequently, it is more compact and asymptotic stability is ensured via the Lyapunov approach.
14
Comparison Between Two Observers
TL;DR: Two novel observers are compared for the estimation of states because the observers are less expensive than the sensors, and Exponential stability of both observers is assured.
5
Structure Regulator for the Perturbations Attenuation in a Quadrotor
José de Jesús Rubio,Genaro Ochoa,Dante Mújica-Vargas,Enrique Garcia,Ricardo Balcazar,Israel Elias,David Ricardo Cruz,Cesar Felipe Juarez,Arturo Aguilar,Juan Francisco Novoa +9 more
TL;DR: The structure regulator for the perturbations attenuation which is based on the infinite structure regulator is studied and it is applied to a quadrotor which maintains the horizontal position with respect to the earth for the step and sine perturbation.
Hessian with Mini-Batches for Electrical Demand Prediction
Israel Elias,José de Jesús Rubio,David Ricardo Cruz,Genaro Ochoa,Juan Francisco Novoa,Dany Ivan Martinez,Samantha Muñiz,Ricardo Balcazar,Enrique Garcia,Cesar Felipe Juarez +9 more
TL;DR: The Hessian is combined with mini-batches for neural network tuning and the discussed algorithm is applied for electrical demand prediction.