| Multi-parametric toolbox 3.0 M Herceg, M Kvasnica, CN Jones, M Morari 2013 European control conference (ECC), 502-510, 2013 | 1427 | 2013 |
| Multi-parametric toolbox (MPT), 2004 M Kvasnica, P Grieder, M Baotic URL http://control. ee. ethz. ch/mpt, 2006 | 1211* | 2006 |
| Approximate model predictive building control via machine learning J Drgoňa, D Picard, M Kvasnica, L Helsen Applied Energy 218, 199-216, 2018 | 265 | 2018 |
| Computation of invariant sets for piecewise affine discrete time systems subject to bounded disturbances SV Rakovic, P Grieder, M Kvasnica, DQ Mayne, M Morari 2004 43rd IEEE conference on decision and control (CDC)(IEEE Cat. No …, 2004 | 191 | 2004 |
| Stabilizing low complexity feedback control of constrained piecewise affine systems P Grieder, M Kvasnica, M Baotić, M Morari Automatica 41 (10), 1683-1694, 2005 | 143 | 2005 |
| Real-time model predictive control via multi-parametric programming: theory and tools M Kvasnica VDM-Verlag, 2009 | 138 | 2009 |
| Explicit MPC-based RBF neural network controller design with discrete-time actual Kalman filter for semiactive suspension LH Csekő, M Kvasnica, B Lantos IEEE Transactions on Control Systems Technology 23 (5), 1736-1753, 2015 | 95 | 2015 |
| Impact of the controller model complexity on model predictive control performance for buildings D Picard, J Drgoňa, M Kvasnica, L Helsen Energy and Buildings 152, 739-751, 2017 | 91 | 2017 |
| Clipping-based complexity reduction in explicit MPC M Kvasnica, M Fikar IEEE Transactions on Automatic Control 57 (7), 1878-1883, 2011 | 87 | 2011 |
| Regionless explicit model predictive control of active suspension systems with preview J Theunissen, A Sorniotti, P Gruber, S Fallah, M Ricco, M Kvasnica, ... IEEE Transactions on Industrial Electronics 67 (6), 4877-4888, 2019 | 80 | 2019 |
| Low complexity control of piecewise affine systems with stability guarantee P Grieder, M Kvasnica, M Baotic, M Morari Proceedings of the 2004 American Control Conference 2, 1196-1201, 2004 | 68 | 2004 |
| Real-time implementation of an explicit MPC-based reference governor for control of a magnetic levitation system M Klaučo, M Kaluz, M Kvasnica Control Engineering Practice 60, 99-105, 2017 | 64 | 2017 |
| Machine learning-based warm starting of active set methods in embedded model predictive control M Klaučo, M Kalúz, M Kvasnica Engineering Applications of Artificial Intelligence 77, 1-8, 2019 | 63 | 2019 |
| Efficient evaluation of piecewise control laws defined over a large number of polyhedra FJ Christophersen, M Kvasnica, CN Jones, M Morari 2007 European Control Conference (ECC), 2360-2367, 2007 | 60 | 2007 |
| Stabilizing polynomial approximation of explicit MPC M Kvasnica, J Löfberg, M Fikar Automatica 47 (10), 2292-2297, 2011 | 57 | 2011 |
| Complexity reduction of explicit model predictive control via separation M Kvasnica, J Hledík, I Rauová, M Fikar Automatica 49 (6), 1776-1781, 2013 | 55 | 2013 |
| A decentralized explicit predictive control paradigm for parallelized DC-DC circuits AG Beccuti, M Kvasnica, G Papafotiou, M Morari IEEE Transactions on Control Systems Technology 21 (1), 136-148, 2012 | 55 | 2012 |
| Control of a boiler-turbine unit using MPC-based reference governors M Klaučo, M Kvasnica Applied Thermal Engineering 110, 1437-1447, 2017 | 54 | 2017 |
| Enumeration-based approach to solving parametric linear complementarity problems M Herceg, CN Jones, M Kvasnica, M Morari Automatica 62, 243-248, 2015 | 53 | 2015 |
| On region-free explicit model predictive control M Kvasnica, B Takács, J Holaza, S Di Cairano 2015 54th IEEE conference on decision and control (CDC), 3669-3674, 2015 | 45 | 2015 |
Miroslav FikarProfessor, Slovak University of Technology in Bratislava在 stuba.sk 的电子邮件经过验证
