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José de Jesús Rubio

José de Jesús Rubio

D-Index & Metrics

Computer Science

D-Index
34
Citations
3989
World Ranking
12293
National Ranking
15

Overview

José de Jesús Rubio is affiliated with the Instituto Politécnico Nacional in Mexico. Their research is primarily focused on engineering and computer science, with an emphasis on control and systems engineering.

Their work spans multiple subfields including:

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Mechanical Engineering

José de Jesús Rubio's research covers key topics such as:

  • Adaptive Control of Nonlinear Systems
  • Neural Networks and Applications
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems
  • Energy Load and Power Forecasting
  • Control and Dynamics of Mobile Robots
  • Robotic Path Planning Algorithms

The scientist has contributed to frequent publication venues including:

  • Applied Sciences
  • Complexity
  • IEEE Access
  • Neural Networks
  • Mathematics

Frequent coauthors collaborating with José de Jesús Rubio include:

  • Jaime Pacheco
  • Alejandro Zacarías
  • Carlos Aguilar-Ibáñez
  • Dante Mújica-Vargas
  • Jesús Alberto Meda-Campaña

Recent publications by José de Jesús Rubio encompass the following works:

  • Stability Analysis of the Modified Levenberg-Marquardt Algorithm for the Artificial Neural Network Training, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process, 2021, Information Sciences
  • Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots, 2023, Neural Networks

Best Publications

  • SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network

    Unknown

  • Stability Analysis of the Modified Levenberg–Marquardt Algorithm for the Artificial Neural Network Training

    Jose de Jesus Rubio

  • Robust feedback linearization for nonlinear processes control

    José de Jesús Rubio

  • Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm

    José de Jesús Rubio;Wen Yu

  • Stability Analysis of Nonlinear System Identification via Delayed Neural Networks

    Jose de Jesus Rubio;Wen Yu

  • Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network

    José de Jesús Rubio;Plamen Angelov;Jaime Pacheco

  • Modeling and Control of Wind Turbine

    Luis Arturo Soriano;Wen Yu;Jose de Jesus Rubio

  • Modified optimal control with a backpropagation network for robotic arms

    J.J. Rubio

  • Modeling and control with neural networks for a magnetic levitation system

    José de Jesús Rubio;Lixian Zhang;Edwin Lughofer;Panuncio Cruz

  • Discrete time control based in neural networks for pendulums

    José de Jesús Rubio

  • Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots

    Unknown

  • Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling

    Gustavo Aquino;Jose De Jesus Rubio;Jaime Pacheco;Guadalupe Juliana Gutierrez

  • Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process

    José de Jesús Rubio;Edwin Lughofer;Jeff Pieper;Panuncio Cruz

  • Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models

    José de Jesús Rubio;Edwin Lughofer;Jesús A. Meda-Campaña;Luis Alberto Páramo

  • USNFIS: Uniform stable neuro fuzzy inference system

    José de Jesús Rubio

  • Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm

    Wen Yu;J. de Jesus Rubio

  • Convergent newton method and neural network for the electric energy usage prediction

    José de Jesús Rubio;Marco Antonio Islas;Genaro Ochoa;David Ricardo Cruz

  • Evolving intelligent algorithms for the modelling of brain and eye signals

    José De Jesús Rubio

  • A novel recurrent neural network soft sensor via a differential evolution training algorithm for the tire contact patch

    Unknown

  • Asynchronous Filtering for Discrete-Time Fuzzy Affine Systems With Variable Quantization Density

    Zepeng Ning;Lixian Zhang;Jose de Jesus Rubio;Xunyuan Yin

  • Uniform stable observer for the disturbance estimation in two renewable energy systems.

    José de Jesús Rubio;Genaro Ochoa;Ricardo Balcazar;Jaime Pacheco

  • Stable Kalman filter and neural network for the chaotic systems identification

    José de Jesús Rubio

  • Adaptive least square control in discrete time of robotic arms

    José Jesús Rubio

Frequent Co-Authors

Wen Yu
Wen Yu CINVESTAV
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Lixian Zhang
Lixian Zhang Harbin Institute of Technology
Plamen Angelov
Plamen Angelov Lancaster University
Yongping Pan
Yongping Pan Sun Yat-sen University
Qinglai Wei
Qinglai Wei Macau University of Science and Technology
Youmin Zhang
Youmin Zhang Concordia University
Haibo He
Haibo He University of Rhode Island
Jianbin Qiu
Jianbin Qiu Harbin Institute of Technology

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