| Neural networks for control systems—a survey KJ Hunt, D Sbarbaro, R Żbikowski, PJ Gawthrop Automatica 28 (6), 1083-1112, 1992 | 2776 | 1992 |
| Neural networks for nonlinear internal model control KJ Hunt, D Sbarbaro IEE Proceedings D (Control Theory and Applications) 138 (5), 431-438, 1991 | 602 | 1991 |
| Multiobjective switching state selector for finite-states model predictive control based on fuzzy decision making in a matrix converter F Villarroel, JR Espinoza, CA Rojas, J Rodriguez, M Rivera, D Sbarbaro IEEE Transactions on Industrial Electronics 60 (2), 589-599, 2012 | 216 | 2012 |
| Design of a discrete-time linear control strategy for a multicell UPQC JA Muñoz, JR Espinoza, CR Baier, LA Morán, EE Espinosa, PE Melin, ... IEEE Transactions on Industrial Electronics 59 (10), 3797-3807, 2011 | 177 | 2011 |
| Irreversible port-Hamiltonian systems: A general formulation of irreversible processes with application to the CSTR H Ramirez, B Maschke, D Sbarbaro Chemical Engineering Science 89, 223-234, 2013 | 145 | 2013 |
| Advanced control and supervision of mineral processing plants D Sbárbaro, R Del Villar Springer Science & Business Media, 2010 | 140 | 2010 |
| An adaptive sliding-mode controller for discrete nonlinear systems D Munoz, D Sbarbaro IEEE transactions on industrial electronics 47 (3), 574-581, 2000 | 136 | 2000 |
| Neural control of a steel rolling mill D Sbarbaro-Hofer, D Neumerkel, K Hunt IEEE Control Systems Magazine 13 (3), 69-75, 1993 | 106 | 1993 |
| On the control of non-linear processes: An IDA–PBC approach H Ramirez, D Sbarbaro, R Ortega Journal of Process Control 19 (3), 405-414, 2009 | 100 | 2009 |
| Adaptive, cautious, predictive control with Gaussian process priors R Murray-Smith, D Sbarbaro, CE Rasmussen, A Girard IFAC Proceedings Volumes 36 (16), 1155-1160, 2003 | 89 | 2003 |
| Nonlinear adaptive control using nonparametric Gaussian process prior models R Murray-Smith, D Sbarbaro IFAC Proceedings Volumes 35 (1), 325-330, 2002 | 87 | 2002 |
| Observer‐based event‐triggered control co‐design for linear systems S Tarbouriech, A Seuret, J Manoel Gomes da Silva Jr, D Sbarbaro IET Control Theory & Applications 10 (18), 2466-2473, 2016 | 76 | 2016 |
| R. bikowski, and P. Gawthrop K Hunt, D Sbarbaro Neural networks for control systems-a survey. Automatica 28 (6), 1083-1112, 1992 | 65 | 1992 |
| On the spectral bands measurements for combustion monitoring L Arias, S Torres, D Sbarbaro, P Ngendakumana Combustion and Flame 158 (3), 423-433, 2011 | 60 | 2011 |
| Neural networks for modelling and control of a non-linear dynamic system R Murray-Smith, D Neumerkel, D Sbarbaro-Hofer Institute of Electrical and Electronics Engineers (IEEE), 1992 | 60 | 1992 |
| Optimal control of a rougher flotation process based on dynamic programming M Maldonado, D Sbarbaro, E Lizama Minerals engineering 20 (3), 221-232, 2007 | 59 | 2007 |
| Economic and technical evaluation of solar-assisted water pump stations for mining applications: a case of study M Montorfano, D Sbarbaro, L Moran IEEE Transactions on Industry Applications 52 (5), 4454-4459, 2016 | 47 | 2016 |
| Modelling and control of multi-energy systems: An irreversible port-Hamiltonian approach H Ramirez, B Maschke, D Sbarbaro European journal of control 19 (6), 513-520, 2013 | 47 | 2013 |
| Partial stabilization of input-output contact systems on a Legendre submanifold H Ramirez, B Maschke, D Sbarbaro IEEE Transactions on Automatic Control 62 (3), 1431-1437, 2016 | 44 | 2016 |
| Adaptive soft-sensors for on-line particle size estimation in wet grinding circuits D Sbarbaro, P Ascencio, P Espinoza, F Mujica, G Cortes Control Engineering Practice 16 (2), 171-178, 2008 | 44 | 2008 |