Cited by
Cited by
People detection and stereoscopic analysis using MAS
S Rodríguez, O Gil, F De La Prieta, C Zato, JM Corchado, P Vega, ...
2010 IEEE 14th International Conference on Intelligent Engineering Systems …, 2010
Neural predictive control. Application to a highly non-linear system
JM Zamarreno, P Vega
Engineering Applications of Artificial Intelligence 12 (2), 149-158, 1999
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process
A Gajate, R Haber, R Del Toro, P Vega, A Bustillo
Journal of Intelligent Manufacturing 23, 869-882, 2012
Metodología para la obtención de modelos semifísicos de base fenomenológica aplicada a una sulfitadora de jugo de caña de azúcar
H Alvarez, R Lamanna, P Vega, S Revollar
Revista Iberoamericana de Automática e Informática Industrial RIAI 6 (3), 10-20, 2009
State space neural network. Properties and application
JM Zamarreño, P Vega
Neural networks 11 (6), 1099-1112, 1998
Integration of set point optimization techniques into nonlinear MPC for improving the operation of WWTPs
P Vega, S Revollar, M Francisco, JM Martín
Computers & Chemical Engineering 68, 78-95, 2014
Self-tuning predictive PID controller
P Vega, C Prada, V Aleixandre
IEE Proceedings D (Control Theory and Applications) 138 (3), 303-312, 1991
Integrated design and control of chemical processes–Part I: Revision and classification
P Vega, RL De Rocco, S Revollar, M Francisco
Computers & Chemical Engineering 71, 602-617, 2014
Optimal Control of Wastewater Treatment Plants Using Economic-Oriented Model Predictive Dynamic Strategies
S Revollar, P Vega, R Vilanova, M Francisco
Applied Sciences 7 (8), 813, 2017
State-space neural network for modelling, prediction and control
JM Zamarreno, P Vega, LD Garcıa, M Francisco
Control Engineering Practice 8 (9), 1063-1075, 2000
A transductive neuro-fuzzy controller: Application to a drilling process
A Gajate, RE Haber, PI Vega, JR Alique
IEEE transactions on neural networks 21 (7), 1158-1167, 2010
Fault Detection and Diagnosis using Multivariate Statistical Techniques in a Wastewater Treatment Plant.
D Garcia-Alvarez, MJ Fuente, P Vega, G Sainz
IFAC Proceedings Volumes 42 (11), 952-957, 2009
Model predictive control for the self-optimized operation in wastewater treatment plants: Analysis of dynamic issues
M Francisco, S Skogestad, P Vega
Computers & Chemical Engineering 82, 259-272, 2015
Robust integrated design of processes with terminal penalty model predictive controllers
M Francisco, P Vega, H Alvarez
Chemical Engineering Research and Design 89 (7), 1011-1024, 2011
Transductive-weighted neuro-fuzzy inference system for tool wear prediction in a turning process
A Gajate, RE Haber, JR Alique, PI Vega
Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009
Multi-agent distributed model predictive control with fuzzy negotiation
M Francisco, Y Mezquita, S Revollar, P Vega, JF De Paz
Expert Systems with Applications 129, 68-83, 2019
Wastewater Treatment Plant Operation: Simple Control Schemes with a Holistic Perspective
S Revollar, R Vilanova, P Vega, M Francisco, M Meneses
Sustainability 12 (3), 768, 2020
Evaluating ammonia as green fuel for power generation: A thermo-chemical perspective
A Sánchez, E Castellano, M Martín, P Vega
Applied Energy 293, 116956, 2021
Integrated design and control of chemical processes–Part II: An illustrative example
P Vega, R Lamanna, S Revollar, M Francisco
Computers & Chemical Engineering 71, 618-635, 2014
Towards a new renewable power system using energy storage: An economic and social analysis
A Sánchez, Q Zhang, M Martín, P Vega
Energy Conversion and Management 252, 115056, 2022
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