RESEARCHER PROFILE

José de Jesús Rubio

← Back to Instituto Politécnico Nacional

J

Instituto Politécnico Nacional

Adaptive Control of Nonlinear SystemsNeural Networks and ApplicationsControl Systems and IdentificationFuzzy Logic and Control SystemsStability and Control of Uncertain Systems

José de Jesús Rubio works in Adaptive Control of Nonlinear Systems, Neural Networks and Applications, Control Systems and Identification, Fuzzy Logic and Control Systems, Stability and Control of Uncertain Systems. Recorded institutional associations include Instituto Politécnico Nacional.

257Publications
4,850Citations
38H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network

    2009 · 346 citations

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

    2020 · 244 citations

  3. Robust feedback linearization for nonlinear processes control

    2018 · 147 citations

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

    2006 · 113 citations

  5. Stability Analysis of Nonlinear System Identification via Delayed Neural Networks

    2007 · 99 citations

  6. Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network

    2011 · 94 citations

  7. Modified optimal control with a backpropagation network for robotic arms

    2012 · 83 citations

  8. Modeling and Control of Wind Turbine

    2013 · 82 citations

  9. Modeling and control with neural networks for a magnetic levitation system

    2016 · 81 citations

  10. 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 · 80 citations

  11. Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling

    2020 · 78 citations

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

    2021 · 78 citations

  13. Structure Regulator for the Perturbations Attenuation in a Quadrotor

    2019 · 75 citations

  14. Discrete time control based in neural networks for pendulums

    2017 · 73 citations

  15. An Unknown Multiplayer Nonzero-Sum Game: Prescribed-Time Dynamic Event-Triggered Control via Adaptive Dynamic Programming

    2024 · 73 citations

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

    2018 · 64 citations

  17. Observer-based differential evolution constrained control for safe reference tracking in robots

    2024 · 62 citations

  18. Optimization of Sliding Mode Control to Save Energy in a SCARA Robot

    2021 · 59 citations

  19. USNFIS: Uniform stable neuro fuzzy inference system

    2017 · 57 citations

  20. Modified Linear Technique for the Controllability and Observability of Robotic Arms

    2022 · 57 citations

  21. Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums

    2023 · 55 citations

  22. Evolving intelligent algorithms for the modelling of brain and eye signals

    2013 · 53 citations

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

    2021 · 53 citations

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

    2016 · 52 citations

  25. Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm

    2009 · 50 citations

← Return to the university profile