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 | 93 | 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 | 81 | 2017 |
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 | 81 | 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 | 61 | 2000 |
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 | 58 | 2015 |
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 | 50 | 2020 |
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 | 48 | 2011 |
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 | 45 | 2019 |
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 | 39 | 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 | 36 | 2011 |
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 | 33 | 2005 |
Diseńo 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 | 28 | 2006 |
PI Dissolved Oxygen control in wastewater treatment plants for plantwide nitrogen removal efficiency S Revollar, R Vilanova, M Francisco, P Vega IFAC-PapersOnLine 51 (4), 450-455, 2018 | 22 | 2018 |
Hierarchical distributed model predictive control based on fuzzy negotiation E Masero, M Francisco, JM Maestre, S Revollar, P Vega Expert Systems with Applications 176, 114836, 2021 | 19 | 2021 |
Automatic tuning of model predictive controllers based on multiobjective optimization M Francisco, P Vega Latin American applied research 40 (3), 255-265, 2010 | 18 | 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 | 17 | 2008 |
Eco-efficiency assessment of control actions in wastewater treatment plants S Revollar, M Meneses, R Vilanova, P Vega, M Francisco Water 13 (5), 612, 2021 | 15 | 2021 |
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 | 13 | 2010 |
Process integrated design within a model predictive control framework M Francisco, P Vega, O Pérez IFAC Proceedings Volumes 38 (1), 409-414, 2005 | 12 | 2005 |
Dynamic optimization for activated sludge integrated design M Francisco, P Vega, O Pérez, M Poch 2003 European Control Conference (ECC), 2062-2067, 2003 | 12 | 2003 |