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PD Control with Auto-Tuned Gains Using Rbf Networks for Enhanced Trajectory Tracking in Manipulator Robots Cover

PD Control with Auto-Tuned Gains Using Rbf Networks for Enhanced Trajectory Tracking in Manipulator Robots

Acta Mechanica et Automatica
Volume 19 (2025): Issue 4 (December 2025)
By: ,   and    
Open Access
|Dec 2025
Authors

Authors

Carlos MUÑIZ-MONTERO

carlos.muniz@uppuebla.edu.mx

Academic Program of Electronics and Telecommunications, Polytechnic University of Puebla, Puebla, Mexico

Luis A. SÁNCHEZ-GASPARIANO

luis.sanchezgas@correo.buap.mx

Faculty of Electronic Sciences, Benemérita Universidad Autónoma de Puebla, Pue, Mexico

Javier LEMUS-LÓPEZ

javier.lemus@uppuebla.edu.mx

Academic Program of Electronics and Telecommunications, Polytechnic University of Puebla, Puebla, Mexico
DOI: https://doi.org/10.2478/ama-2025-0070 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 617 - 625
Submitted on: Sep 21, 2024
Accepted on: Oct 5, 2025
Published on: Dec 19, 2025
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
PD control,
Radial Basis Function Networks,
trajectory tracking,
Lyapunov stability
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2025 Carlos MUÑIZ-MONTERO, Luis A. SÁNCHEZ-GASPARIANO, Javier LEMUS-LÓPEZ, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2025): Issue 4 (December 2025)
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