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ORCIDOscar Mauricio Agudelo
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2020 – today
- 2023
[j8]Sibren Lagauw
, Oscar Mauricio Agudelo, Bart De Moor:
Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem. IEEE Control. Syst. Lett. 7: 1670-1675 (2023)- [j7]Konstantinos Theodorakos, Oscar Mauricio Agudelo, Joachim Schreurs, Johan A. K. Suykens, Bart De Moor:
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. IEEE Trans. Evol. Comput. 27(4): 878-892 (2023) - [c12]Giulia Rinaldi, Fernando Crema Garcia, Oscar Mauricio Agudelo, Thijs Becker, Koen Vanthournout, Willem Mestdagh, Bart De Moor:
A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series. ICEIS (1) 2023: 443-452
2010 – 2019
- 2019
- [j6]Ricardo Castro-Garcia, Oscar Mauricio Agudelo, Johan A. K. Suykens:
Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification. Int. J. Control 92(4): 908-925 (2019) - 2018
- [j5]Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor:
A Multiple-Input Multiple-Output Cepstrum. IEEE Control. Syst. Lett. 2(2): 272-277 (2018) - [j4]Ricardo Castro-Garcia, Koen Tiels, Oscar Mauricio Agudelo, Johan A. K. Suykens:
Hammerstein system identification through best linear approximation inversion and regularisation. Int. J. Control 91(8): 1757-1773 (2018) - [c11]Bob Vergauwen, Oscar Mauricio Agudelo, Bart De Moor:
Order estimation of two dimensional systems based on rank decisions. CDC 2018: 1451-1456 - [i1]Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor:
A Multiple-Input Multiple-Output Cepstrum. CoRR abs/1803.03080 (2018) - 2017
- [c10]Bob Vergauwen, Oscar Mauricio Agudelo, Raj Thilak Rajan, Frank J. Pasveer, Bart De Moor:
Data-driven modeling techniques for indoor CO2 estimation. IEEE SENSORS 2017: 1-3 - [c9]Ricardo Castro-Garcia, Oscar Mauricio Agudelo, Johan A. K. Suykens:
MIMO hammerstein system identification using LS-SVM and steady state time response. SSCI 2017: 1-7 - 2016
- [c8]Ricardo Castro-Garcia, Oscar Mauricio Agudelo, Koen Tiels, Johan A. K. Suykens:
Hammerstein system identification using LS-SVM and steady state time response. ECC 2016: 1063-1068 - 2015
- [j3]Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A. K. Suykens:
Incremental multi-class semi-supervised clustering regularized by Kalman filtering. Neural Networks 71: 88-104 (2015) - [c7]Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens:
Hierarchical semi-supervised clustering using KSC based model. IJCNN 2015: 1-8 - 2014
- [j2]Rocco Langone, Oscar Mauricio Agudelo, Bart De Moor, Johan A. K. Suykens:
Incremental kernel spectral clustering for online learning of non-stationary data. Neurocomputing 139: 246-260 (2014) - 2012
- [c6]Maarten Breckpot, Oscar Mauricio Agudelo, Bart De Moor:
Model Predictive Control applied to a river system with two reaches. CDC 2012: 4549-4554 - 2011
- [c5]Oscar Mauricio Agudelo, Oscar Barrero, Viaene Peter, Bart De Moor:
Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter. CDC/ECC 2011: 4430-4435 - 2010
- [c4]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
Reduction of the computational burden of POD models with polynomial nonlinearities. CDC 2010: 3457-3462
2000 – 2009
- 2009
- [j1]Oscar Mauricio Agudelo, Michel Baes, Jairo Jose Espinosa, Moritz Diehl, Bart De Moor:
Positive Polynomial Constraints for POD-based Model Predictive Controllers. IEEE Trans. Autom. Control. 54(5): 988-999 (2009) - [c3]Oscar Mauricio Agudelo, Jairo José Espinosa, Bart De Moor:
Acceleration of nonlinear POD models: A neural network approach. ECC 2009: 1547-1552 - 2008
- [c2]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
Algorithm for reducing the number of constraints of POD-based predictive controllers. CDC 2008: 4743-4748 - 2007
- [c1]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
POD-based predictive controller with temperature constraints for a tubular reactor. CDC 2007: 3537-3542
Coauthor Index
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