Online prediction under model uncertainty via dynamic model averaging: Application to a cold rolling mill AE Raftery, M Kárný, P Ettler Operations Research Management Science 52 (1), 111, 2012 | 543 | 2012 |
Probabilistic advisory systems for data‐intensive applications A Quinn, P Ettler, L Jirsa, I Nagy, P Nedoma International Journal of Adaptive Control and Signal Processing 17 (2), 133-148, 2003 | 29 | 2003 |
Bayes for rolling mills: From parameter estimation to decision support P Ettler, M Kárný, TV Guy Proceedings of the 16th IFAC World Congress., 2005 | 13 | 2005 |
Overview of bounded support distributions and methods for Bayesian treatment of industrial data K Dedecius, P Ettler International Conference on Informatics in Control, Automation and Robotics …, 2013 | 10 | 2013 |
Fault Detection Based on Gaussian Process Models: an Application to the Rolling Mill D Juricic, P Ettler, J Kocian ICINCO 2011, Noordwijkerhout, The Netherlands, 2011 | 9 | 2011 |
Digital controllers for škoda rolling mills P Ettler, F Jirkovský Advanced Methods in Adaptive Control for Industrial Applications 158, 31-35, 1991 | 8 | 1991 |
Hierarchical modelling of industrial system reliability with probabilistic logic K Dedecius, P Ettler 2014 11th International Conference on Informatics in Control, Automation and …, 2014 | 7 | 2014 |
Probabilistic reasoning in service of condition monitoring P Ettler, K Dedecius Proceedings of the 11th International Conference on Condition Monitoring and …, 2014 | 6 | 2014 |
Mixing models to improve gauge prediction for cold rolling mills P Ettler, J Andrýsek Preprints of the 12th IFAC Symposium on Automation in Mining, Mineral and …, 2007 | 6 | 2007 |
Towards a knowledge-based control of a complex industrial process P Ettler, M Valeckova, M Karny, I Puchr Proceedings of the American Control Conference 2000 3, 2063-2066, 2000 | 6 | 2000 |
An Adaptive Controller for ŠKODA twenty-roll cold rolling mills P Ettler Proceedings of 2nd IFAC Workshop on Adaptive Systems in Control and Signal …, 1986 | 6 | 1986 |
Quantification of information uncertainty for the purpose of condition monitoring P Ettler, K Dedecius 2014 11th International Conference on Informatics in Control, Automation and …, 2014 | 5 | 2014 |
Combined approach helping to reduce periodic disturbances in speed measuring P Ettler, I Puchr, J Štika Proceedings of IFAC International Workshop on Periodic Control Systems …, 2010 | 5 | 2010 |
Parallel estimation respecting constraints of parametric models of cold rolling P Ettler, M Kárný Proceedings of the 13th IFAC Symposium on Automation in Mineral, Mining and …, 2010 | 4 | 2010 |
Model mixing for long-term extrapolation P Ettler, M Kárný, P Nedoma Proceedings of the 6th EUROSIM Congress on Modelling and Simulation., 2007 | 3 | 2007 |
O bayesovském učení I Nagy, P Nedoma, M Kárný, L Pavelková, P Ettler AUTOMA 8 (7), 56-60, 2002 | 3* | 2002 |
Employing information hidden in industrial process data P Ettler, M Kárný, I Nagy Proceedings of the Symposium Intelligent Systems for Industry SOCO/ISFI …, 2001 | 3 | 2001 |
Comparison of three approaches to on-line prediction of a fluctuating periodic disturbance P Ettler 2019 22nd International Conference on Process Control (PC19), 262-267, 2019 | 2 | 2019 |
Realistic Estimation of Model Parameters. P Ettler ICINCO (1), 527-534, 2017 | 2 | 2017 |
Probabilistic condition monitoring counting with information uncertainty P Ettler, K Dedecius, M Papadrakakis, V Papadopoulos, G Stefanou UNCECOMP, 2015 | 2 | 2015 |