Jaime Pacheco

Orcid: 0000-0002-2377-1639

According to our database1, Jaime Pacheco authored at least 30 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimized radial basis function network for the fatigue driving modeling.
J. Supercomput., May, 2024

Electricity consumption modeling by a chaotic convolutional radial basis function network.
J. Supercomput., March, 2024

On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption.
CoRR, 2024

2022
The Regulation of an Electric Oven and an Inverted Pendulum.
Symmetry, 2022

Convergent newton method and neural network for the electric energy usage prediction.
Inf. Sci., 2022

Modified Linear Technique for the Controllability and Observability of Robotic Arms.
IEEE Access, 2022

2020
Learning of operator hand movements via least angle regression to be teached in a manipulator.
Evol. Syst., 2020

A Luenberger-Like Observer for Multistable Kapitaniak Chaotic System.
Complex., 2020

Stabilization of Two Electricity Generators.
Complex., 2020

The Perturbations Estimation in Two Gas Plants.
IEEE Access, 2020

Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling.
IEEE Access, 2020

2018
Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models.
J. Intell. Fuzzy Syst., 2018

Fuzzy linear control of a hexarotor.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018

2017
Uniform stable radial basis function neural network for the prediction in two mechatronic processes.
Neurocomputing, 2017

Impulsive noise filtering using a Median Redescending M-Estimator.
Intell. Data Anal., 2017

Sliding Mode Regulator for the Perturbations Attenuation in Two Tank Plants.
IEEE Access, 2017

2014
Mathematical model with sensor and actuator for a transelevator.
Neural Comput. Appl., 2014

State estimation in MIMO nonlinear systems subject to unknown deadzones using recurrent neural networks.
Neural Comput. Appl., 2014

Wind turbine modeling with the slopes algorithm.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Wind turbine modeling with an analytic algorithm.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2012
Trajectory planning and collisions detector for robotic arms.
Neural Comput. Appl., 2012

System Identification Using Multilayer Differential Neural Networks: A New Result.
J. Appl. Math., 2012

Robust fault diagnosis of disturbed linear systems via a sliding mode high order differentiator.
Int. J. Control, 2012

2011
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network.
IEEE Trans. Neural Networks, 2011

2010
Backpropagation to train an evolving radial basis function neural network.
Evol. Syst., 2010

2009
An stable online clustering fuzzy neural network for nonlinear system identification.
Neural Comput. Appl., 2009

Detection and Following of a Face in Movement Using a Neural Network.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

2008
External properness.
Kybernetika, 2008

2003
Proper exponential approximation of non proper compensators: the MIMO case.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Almost rejection of internal structural variations in linear systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003


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