Mario Francisco
Mario Francisco
Departamento de Informática y Automática, Universidad de Salamanca
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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
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
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
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
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
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
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
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
Model predictive control of BSM1 benchmark of wastewater treatment process: a tuning procedure
M Francisco, P Vega, S Revollar
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
Diseño Integrado de procesos de depuración de aguas utilizando Control Predictivo Basado en Modelos
M Francisco, P Vega
Revista Iberoamericana de Automática e Informática Industrial 3 (4), 87-97, 2006
Automatic tuning of model predictive controllers based on multiobjective optimization
M Francisco, P Vega
Latin American applied research 40 (3), 255-265, 2010
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
Stochastic optimization for the simultaneous synthesis and control system design of an activated sludge process
S Revollar, M Francisco, P Vega, R Lamanna
Latin American applied research 40 (2), 137-146, 2010
Multiobjective optimization for automatic tuning of robust model based predictive controllers
P Vega, M Francisco, F Tadeo
IFAC Proceedings Volumes 41 (2), 6980-6985, 2008
Dynamic optimization for activated sludge integrated design
M Francisco, P Vega, O Pérez, M Poch
2003 European Control Conference (ECC), 2062-2067, 2003
Norm based approaches for automatic tuning of Model Based Predictive Control
P Vega, M Francisco, E Sanz
Proceedings of ECCE-6, Copenhague, 2007
Process integrated design within a model predictive control framework
M Francisco, P Vega, O Pérez
IFAC Proceedings Volumes 38 (1), 409-414, 2005
A comparative study of deterministic and stochastic optimization methods for integrated design of processes
M Francisco, S Revollar, P Vega, R Lamanna
IFAC Proceedings Volumes 38 (1), 335-340, 2005
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
Seismic hazard and structural analysis of the concrete arch dam (Rules dam on Guadalfeo River)
E Zacchei, JL Molina, RM Brasil
Procedia engineering 199, 1332-1337, 2017
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