Gaussian process approach for modelling of nonlinear systems G Gregorčič, G Lightbody Engineering Applications of Artificial Intelligence 22 (4-5), 522-533, 2009 | 92 | 2009 |
FROM MULTIPLE MODEL NETWORKS TO THE GAUSSIAN PROCESSES G Gregorcic, G Lightbody Intelligent control systems and signal processing 2003:(ICONS 2003); a …, 2003 | 92* | 2003 |
Gaussian process modeling of EEG for the detection of neonatal seizures S Faul, G Gregorcic, G Boylan, W Marnane, G Lightbody, S Connolly IEEE Transactions on Biomedical Engineering 54 (12), 2151-2162, 2007 | 78 | 2007 |
Local model network identification with Gaussian processes G Gregorcic, G Lightbody IEEE Transactions on neural networks 18 (5), 1404-1423, 2007 | 77 | 2007 |
Model predictive control of a DC–DC converter for battery emulation O König, G Gregorčič, S Jakubek Control Engineering Practice 21 (4), 428-440, 2013 | 55 | 2013 |
Gaussian processes for modelling of dynamic non-linear systems G Gregorcic, G Lightbody Proceedings of the Irish Signals and Systems Conference, 141-147, 2002 | 32 | 2002 |
Internal model control based on a Gaussian process prior model G Gregorcic, G Lightbody Proceedings of the 2003 American Control Conference, 2003. 6, 4981-4986, 2003 | 30 | 2003 |
Control of highly nonlinear processes using self-tuning control and multiple/local model approaches G Gregorcic, G Lightbody 2000 IEEE International Conference on Intelligent Engineering Systems, INES …, 2000 | 26 | 2000 |
Nonlinear model-based control of highly nonlinear processes G Gregorčič, G Lightbody Computers & chemical engineering 34 (8), 1268-1281, 2010 | 21 | 2010 |
Gaussian process internal model control G Gregorčič, G Lightbody International Journal of Systems Science 43 (11), 2079-2094, 2012 | 19 | 2012 |
The singular value decomposition and the pseudoinverse G Gregorcic matrix 2 (1), 2, 2001 | 16 | 2001 |
Gaussian process approaches to nonlinear modelling for control G Gregorcic, G Lightbody IEE CONTROL ENGINEERING SERIES 70, 177, 2005 | 15 | 2005 |
Data-based modelling of nonlinear systems for control G Gregorcic NUI, 2004 | 11 | 2004 |
From multiple model networks to the Gaussian processes prior model G Gregorčič, G Lightbody Proceedings of IFAC ICONS conference, 149-154, 2003 | 8 | 2003 |
An affine Gaussian process approach for nonlinear system identification G Gregorcic, G Lightbody Systems Science 29 (2), 47-63, 2003 | 8 | 2003 |
A comparison of multiple model and pole-placement self-tuning for the control of highly nonlinear processes G Gregorcic, G Lightbody Proceedings of the Irish signals and systems conference, 303-311, 2000 | 8 | 2000 |
Simulink implementation of adaptive control and multiple model network control G Gregorcic, A Mullane, G Lightbody Proc. Of the Nordic Matlab Conf, 167-173, 2001 | 6 | 2001 |
An affine local Gaussian process model network G Gregorcic, G Lightbody Proc. IEE Int. Conf. Syst. Eng., 206-210, 2003 | 4 | 2003 |
Development of a sorption thermal energy storage to support the thermal management of hybrid vehicles G Engel, R Kerschenbauer, M Hinteregger, G Gregorcic, AM Fulterer, ... International Journal of Vehicle Design 85 (2-4), 139-153, 2021 | 2 | 2021 |
Modeling and control of thermal cycles in vehicle electrification G Gregorčič, F Oberlechner, P Drage 2017 25th Mediterranean Conference on Control and Automation (MED), 198-203, 2017 | 2 | 2017 |