Jose de Jesus Rubio
Jose de Jesus Rubio
SNI 3, ESIME Azcapotzalco, Instituto Politécnico Nacional
Verified email at - Homepage
Cited by
Cited by
SOFMLS: online self-organizing fuzzy modified least-squares network
J de Jesús Rubio
IEEE Transactions on Fuzzy Systems 17 (6), 1296-1309, 2009
Robust feedback linearization for nonlinear processes control
J de Jesús Rubio
ISA Transactions 74, 155-164, 2018
Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm
J de Jesús Rubio, W Yu
Neurocomputing 70 (13-15), 2460-2466, 2007
Stability Analysis of the Modified Levenberg-Marquardt Algorithm for the Artificial Neural Network Training
J de Jesus Rubio
IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3510-3524, 2021
Stability analysis of nonlinear system identification via delayed neural networks
J de Jesus Rubio, W Yu
IEEE Transactions on Circuits and Systems II: Express Briefs 54 (2), 161-165, 2007
Uniformly stable backpropagation algorithm to train a feedforward neural network
J de Jesús Rubio, P Angelov, J Pacheco
IEEE Transactions on Neural Networks 22 (3), 356-366, 2011
Modified optimal control with a back propagation network for robotic arms
J de Jesús Rubio
IET Control Theory and Applications 6 (14), 2216-2225, 2012
Modeling and Control of Wind Turbine
LA Soriano, W Yu, J de Jesus Rubio
Mathematical Problems in Engineering 2013, 1-13, 2013
Discrete time control based in neural networks for pendulums
J de Jesús Rubio
Applied Soft Computing 68, 821-832, 2018
Structure Regulator for the Perturbations Attenuation in a Quadrotor
J de Jesus Rubio, G Ochoa, D Mujica-Vargas, E Garcia, R Balcazar, ...
IEEE Access 7 (1), 138244-138252, 2019
Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling
G Aquino, J de Jesus Rubio, J Pacheco, GJ Gutierrez, G Ochoa, ...
IEEE Access 8 (1), 46324-46334, 2020
Modeling and control with neural networks for a magnetic levitation system
J de Jesús Rubio, L Zhang, E Lughofer, P Cruz, A Alsaedi, T Hayat
Neurocomputing 227, 113-121, 2017
Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models
J de Jesús Rubio, E Lughofer, JA Meda-Campaña, LA Parámo, JF Novoa, ...
Journal of Intelligent & Fuzzy Systems 35 (2), 2585-2596, 2018
Adapting H-Infinity Controller for the Desired Reference Tracking of the Sphere Position in the Maglev Process
J de Jesus Rubio, E Lughofer, J Pieper, P Cruz, DI Martinez, G Ochoa, ...
Information Sciences 569, 669-686, 2021
USNFIS: Uniform Stable Neuro Fuzzy Inference System
J de Jesús Rubio
Neurocomputing 262, 57-66, 2017
Comparison of two quadrotor dynamic models
J de Jesus Rubio, JHP Cruz, Z Zamudio, AJ Salinas
IEEE Latin America Transactions 12 (4), 531-537, 2014
Recurrent neural networks training with stable bounding ellipsoid algorithm
W Yu, J de Jesús Rubio
IEEE Transactions on Neural Networks 20 (6), 983-991, 2009
A Novel Recurrent Neural Network Soft Sensor via a Differential Evolution Training Algorithm for the Tire Contact Patch
CA Duchanoy, MA Moreno-Armendáriz, L Urbina, CA Cruz-Villar, H Calvo, ...
Neurocomputing 235, 71-82, 2017
Asynchronous Filtering for Discrete-Time Fuzzy Affine Systems With Variable Quantization Density
Z Ning, L Zhang, J de Jesus Rubio, X Yin
IEEE Transactions on Cybernetics 47 (1), 153-164, 2017
Stabilization of Robots with a Regulator Containing the Sigmoid Mapping
DI Martinez, J de Jesus Rubio, TM Vargas, V Garcia, G Ochoa, R Balcazar, ...
IEEE Access 8 (1), 89479-89488, 2020
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