| Neural predictive control. Application to a highly non-linear system JM Zamarreno, P Vega Engineering Applications of Artificial Intelligence 12 (2), 149-158, 1999 | 99 | 1999 |
| State space neural network. Properties and application JM Zamarreño, P Vega Neural networks 11 (6), 1099-1112, 1998 | 79 | 1998 |
| 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 (3), 869-882, 2012 | 73 | 2012 |
| Self-tuning predictive PID controller P Vega, C Prada, V Aleixandre IEE Proceedings D (Control Theory and Applications) 138 (3), 303-312, 1991 | 70 | 1991 |
| 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 | 67 | 2010 |
| 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 | 58 | 2009 |
| 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 | 52 | 2014 |
| Integration of set point optimization techniques into nonlinear MPC for improving the operation of WWTPs P Vega, S Revollar, M Francisco, JM Martin Computers & Chemical Engineering 68, 78-95, 2014 | 46 | 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 | 45 | 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 | 38 | 2010 |
| Control of neutralization processes by robust loop shaping F Tadeo, OP López, T Alvarez IEEE Transactions on Control Systems Technology 8 (2), 236-246, 2000 | 37 | 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 | 36 | 2011 |
| Transductive-weighted neuro-fuzzy inference system for tool wear prediction in a turning process A Gajate, RE Haber, JR Alique, PI Vega International Conference on Hybrid Artificial Intelligence Systems, 113-120, 2009 | 35 | 2009 |
| 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 | 33 | 2009 |
| Neural networks applied to fault detection of a biotechnological process MJ Fuente, P Vega Engineering applications of artificial intelligence 12 (5), 569-584, 1999 | 28 | 1999 |
| Identification and predictive control of a melter unit used in the sugar industry JM Zamarreño, P Vega Artificial Intelligence in Engineering 11 (4), 365-373, 1997 | 27 | 1997 |
| 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 (RIAI) 3 (4 …, 2006 | 24 | 2006 |
| 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 | 22 | 2014 |
| l1-optimal regulation of a pH control plant F Tadeo, A Holohan, P Vega Computers & chemical engineering 22, S459-S466, 1998 | 21 | 1998 |
| Fault detection in a real wastewater plant using parameter-estimation techniques MJ Fuente, P Vega, M Zarrop, M Poch Control Engineering Practice 4 (8), 1089-1098, 1996 | 21 | 1996 |
Mario FranciscoDepartamento de Informática y Automática, Universidad de SalamancaDirección de correo verificada de usal.es
