Guzmán González-Mateos

According to our database, Guzmán González-Mateos authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A comprehensive study of incremental input-to-state stability in echo state networks: Hyperparameter influence and stability promotion in reduced models.

Guzmán González-Mateos, Antonio Morán, Miguel A. Prada, Juan José Fuertes, Serafín Alonso, Manuel Domínguez

Neurocomputing, 2026

Reduced-order echo state networks for model predictive control in industrial applications.

Guzmán González-Mateos, Miguel A. Prada, Antonio Morán Álvarez, José Ramón Rodríguez-Ossorio, Ignacio Díaz Blanco, Manuel Domínguez

Eur. J. Control, 2026

2025

Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop.

Raúl González-Herbón, Guzmán González-Mateos, José Ramón Rodríguez-Ossorio, Miguel A. Prada, Antonio Morán, Serafín Alonso, Juan José Fuertes, Manuel Domínguez

Neural Comput. Appl., June, 2025

Reduced Echo State Networks for Model Predictive Control of a Quadruple-Tank Process.

Guzmán González-Mateos, Miguel A. Prada, Antonio Morán Álvarez, Ignacio Díaz Blanco, Manuel Domínguez

Proceedings of the 2025 European Control Conference, 2025

2024

An Approach to Develop Digital Twins in Industry.

Raúl González-Herbón, Guzmán González-Mateos, José Ramón Rodríguez-Ossorio, Manuel Domínguez, Serafín Alonso, Juan J. Fuertes-Martínez

Sensors, February, 2024

2023

Guidelines to develop demonstration models on industry 4.0 for engineering training.

Juan José Fuertes, Raúl González-Herbón, José Ramón Rodríguez-Ossorio, Guzmán González-Mateos, Serafín Alonso, Antonio Morán

Int. J. Comput. Integr. Manuf., October, 2023

Virtual Flow Meter for an Industrial Process.

Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez

Proceedings of the Engineering Applications of Neural Networks, 2023