POD-based predictive controller with temperature constraints for a tubular reactor. - Oscar Mauricio Agudelo; Jairo Jose Espinosa; Bart De Moor (CDC, 2007)

Algorithm for reducing the number of constraints of POD-based predictive controllers. - Oscar Mauricio Agudelo; Jairo Jose Espinosa; Bart De Moor (CDC, 2008)

Acceleration of nonlinear POD models: A neural network approach. - Oscar Mauricio Agudelo; Jairo José Espinosa; Bart De Moor (ECC, 2009)

Positive Polynomial Constraints for POD-based Model Predictive Controllers. - Oscar Mauricio Agudelo; Michel Baes; Jairo Jose Espinosa; Moritz Diehl; Bart De Moor (IEEE Trans. Autom. Control., 2009)

Reduction of the computational burden of POD models with polynomial nonlinearities. - Oscar Mauricio Agudelo; Jairo Jose Espinosa; Bart De Moor (CDC, 2010)

Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter. - Oscar Mauricio Agudelo; Oscar Barrero; Viaene Peter; Bart De Moor (CDC/ECC, 2011)

Model Predictive Control applied to a river system with two reaches. - Maarten Breckpot; Oscar Mauricio Agudelo; Bart De Moor (CDC, 2012)

Incremental kernel spectral clustering for online learning of non-stationary data. - Rocco Langone; Oscar Mauricio Agudelo; Bart De Moor; Johan A. K. Suykens (Neurocomputing, 2014)

Hierarchical semi-supervised clustering using KSC based model. - Siamak Mehrkanoon; Oscar Mauricio Agudelo; Raghvendra Mall; Johan A. K. Suykens (IJCNN, 2015)

Incremental multi-class semi-supervised clustering regularized by Kalman filtering. - Siamak Mehrkanoon; Oscar Mauricio Agudelo; Johan A. K. Suykens (Neural Networks, 2015)

Hammerstein system identification using LS-SVM and steady state time response. - Ricardo Castro-Garcia; Oscar Mauricio Agudelo; Koen Tiels; Johan A. K. Suykens (ECC, 2016)

Data-driven modeling techniques for indoor CO2 estimation. - Bob Vergauwen; Oscar Mauricio Agudelo; Raj Thilak Rajan; Frank J. Pasveer; Bart De Moor (IEEE SENSORS, 2017)

MIMO hammerstein system identification using LS-SVM and steady state time response. - Ricardo Castro-Garcia; Oscar Mauricio Agudelo; Johan A. K. Suykens (SSCI, 2017)

Order estimation of two dimensional systems based on rank decisions. - Bob Vergauwen; Oscar Mauricio Agudelo; Bart De Moor (CDC, 2018)

A Multiple-Input Multiple-Output Cepstrum. - Oliver Lauwers; Oscar Mauricio Agudelo; Bart De Moor (IEEE Control. Syst. Lett., 2018)

Hammerstein system identification through best linear approximation inversion and regularisation. - Ricardo Castro-Garcia; Koen Tiels; Oscar Mauricio Agudelo; Johan A. K. Suykens (Int. J. Control, 2018)

Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification. - Ricardo Castro-Garcia; Oscar Mauricio Agudelo; Johan A. K. Suykens (Int. J. Control, 2019)

A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series. - Giulia Rinaldi; Fernando Crema Garcia; Oscar Mauricio Agudelo; Thijs Becker; Koen Vanthournout; Willem Mestdagh; Bart De Moor (ICEIS (1), 2023)

Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem. - Sibren Lagauw; Oscar Mauricio Agudelo; Bart De Moor (IEEE Control. Syst. Lett., 2023)

Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. - Konstantinos Theodorakos; Oscar Mauricio Agudelo; Joachim Schreurs; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Evol. Comput., 2023)

EX-DSS: An Explorative Decision Support System for Designing and Deploying Smart Plug Forecasting Pipelines. - Giulia Rinaldi; Lola Botman; Oscar Mauricio Agudelo; Bart De Moor (KMIS, 2024)

DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting. - Giulia Rinaldi; Konstantinos Theodorakos; Fernando Crema Garcia; Oscar Mauricio Agudelo; Bart De Moor (Expert Syst. Appl., 2025)