Stable convolutional neural network for economy applications. - José de Jesús Rubio; Donaldo Garcia; Francisco Javier Rosas; Mario Alberto Hernandez; Jaime Pacheco 001; Alejandro Zacarias (Eng. Appl. Artif. Intell., 2024)

Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums. - José de Jesús Rubio; Mario Alberto Hernandez; Francisco Javier Rosas; Eduardo Orozco; Ricardo Balcazar; Jaime Pacheco 001 (Neural Networks, 2024)

Observer-based differential evolution constrained control for safe reference tracking in robots. - José de Jesús Rubio; Eduardo Orozco; Daniel Andrés Córdova; Mario Alberto Hernandez; Francisco Javier Rosas; Jaime Pacheco 001 (Neural Networks, 2024)

Observer-based model-free controller for the perturbations estimation and attenuation in robotic plants. - José de Jesús Rubio; Mario Alberto Hernandez; Eduardo Orozco; Daniel Andrés Córdova; Alejandro Zacarias; Jaime Pacheco 001 (Robotics Auton. Syst., 2024)

References tracking and perturbations reconstruction in a Cartesian robot. - José de Jesús Rubio; Daniel Andrés Córdova; Mario Alberto Hernandez; Eduardo Orozco; Francisco Javier Rosas; Guadalupe Juliana Gutierrez; Jesús Alberto Meda-Campaña; Carlos Aguilar Ibáñez (Int. J. Intell. Robotics Appl., 2024)