| 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 | 113 | 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 | 111 | 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 | 106 | 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 | 99 | 2009 |
| State space neural network. Properties and application JM Zamarreño, P Vega Neural networks 11 (6), 1099-1112, 1998 | 94 | 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 | 84 | 2014 |
| Self-tuning predictive PID controller P Vega, C Prada, V Aleixandre IEE Proceedings D (Control Theory and Applications) 138 (3), 303-312, 1991 | 83 | 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 | 81 | 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 | 70 | 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 | 59 | 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 | 53 | 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 | 53 | 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 | 49 | 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 | 48 | 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 | 43 | 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 | 42 | 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 | 40 | 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 | 38 | 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 | 38 | 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 | 35 | 2022 |
Mario FranciscoDepartamento de Informática y Automática, Universidad de SalamancaVerified email at usal.es
