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ORCIDJairo José Espinosa
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Journal Articles
- 2019
[j8]Andrés F. Osorio, Sebastian Montoya-Vargas, Cesar A. Cartagena
, Jairo Jose Espinosa, Alejandro Orfila, Christian Winter:
Virtual BUOY: A video-based approach for measuring near-shore wave peak period. Comput. Geosci. 133 (2019)- 2017
- [j7]Pablo Deossa, Kristof de Vos, Geert Deconinck, Jairo Jose Espinosa:
Generation Expansion Models including Technical Constraints and Demand Uncertainty. J. Appl. Math. 2017: 3424129:1-3424129:11 (2017) - 2016
- [j6]Felipe Valencia, Doris Sáez, Jorge Collado, Fernanda Avila, Alejandro Márquez, Jairo Jose Espinosa:
Robust Energy Management System Based on Interval Fuzzy Models. IEEE Trans. Control. Syst. Technol. 24(1): 140-157 (2016) - 2014
- [j5]José David López, Vladimir Litvak, Jairo J. Espinosa, Karl J. Friston, Gareth R. Barnes:
Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM. NeuroImage 84: 476-487 (2014) - 2013
- [j4]José David López, William D. Penny, Jairo J. Espinosa, Gareth R. Barnes:
Corrigendum to "A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty" [Neuroimge 60/2 (2012) 1194-1204]. NeuroImage 72: 323 (2013) - 2012
- [j3]José David López, William D. Penny, Jairo J. Espinosa, Gareth R. Barnes:
A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty. NeuroImage 60(2): 1194-1204 (2012) - 2009
- [j2]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) - 2000
- [j1]Jairo J. Espinosa, Joos Vandewalle:
Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm. IEEE Trans. Fuzzy Syst. 8(5) (2000)
Conference and Workshop Papers
- 2019
- [c17]Julian Alberto Patino, Carlos A. Ramirez, Jairo Jose Espinosa:
Modal Analysis for a Power System Benchmark with Topological Changes. WEA 2019: 628-639 - 2018
- [c16]Julian Alberto Patino, José David López, Jairo Jose Espinosa:
Analysis of Control Sensitivity Functions for Power System Frequency Regulation. WEA (1) 2018: 606-617 - 2014
- [c15]Alejandro Márquez, Julian Alberto Patino, Jairo Jose Espinosa:
Min-max Economic Model Predictive Control. CDC 2014: 4410-4415 - 2013
- [c14]José David López, Luzia Troebinger, Will D. Penny, Jairo J. Espinosa, Gareth R. Barnes:
Cortical surface reconstruction based on MEG data and spherical harmonics. EMBC 2013: 6449-6452 - [c13]Alfredo Núñez, Carlos Ocampo-Martinez, Bart De Schutter, Felipe Valencia, José David López, Jairo Jose Espinosa:
A Multiobjective-Based Switching Topology for Hierarchical Model Predictive Control Applied to a Hydro-Power Valley. ICONS 2013: 534-539 - 2012
- [c12]José David López, Jairo J. Espinosa, Gareth R. Barnes:
Random location of multiple sparse priors for solving the MEG/EEG inverse problem. EMBC 2012: 1534-1537 - 2011
- [c11]Felipe Valencia, José David López, Alejandro Márquez, Jairo Jose Espinosa:
Moving horizon estimator for measurement delay compensation in model predictive control schemes. CDC/ECC 2011: 6678-6683 - [c10]Geert Gins, Bert Pluymers, Ilse Y. Smets, Jairo Jose Espinosa, Jan F. M. Van Impe:
Prediction of Batch-End Quality for an Industrial Polymerization Process. ICDM 2011: 314-328 - [c9]Juan Esteban Castano, Julian Alberto Patino, Jairo Jose Espinosa:
Model identification for control of a distillation column. LARC 2011: 1-5 - [c8]Pablo Deossa, Julian Alberto Patino, Jairo Jose Espinosa, Felipe Valencia:
A comparison of Extended Kalman Filter and Levenberg-Marquardt methods for neural network training. LARC 2011: 1-5 - [c7]Alejandro Márquez, Cesar Gomez, Pablo Deossa, Jairo Jose Espinosa:
Infinite Horizon MPC and model reduction applied to large scale chemical plant. LARC 2011: 1-6 - 2010
- [c6]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
Reduction of the computational burden of POD models with polynomial nonlinearities. CDC 2010: 3457-3462 - 2009
- [c5]Oscar Mauricio Agudelo, Jairo José Espinosa, Bart De Moor:
Acceleration of nonlinear POD models: A neural network approach. ECC 2009: 1547-1552 - 2008
- [c4]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
- [c3]Oscar Mauricio Agudelo, Jairo Jose Espinosa, Bart De Moor:
POD-based predictive controller with temperature constraints for a tubular reactor. CDC 2007: 3537-3542 - 2006
- [c2]Geert Gins, Jairo Jose Espinosa, Ilse Y. Smets, Wim Van Brempt, Jan F. M. Van Impe:
Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction. ICDM 2006: 506-510 - 1999
- [c1]Jairo J. Espinosa, Mohamed Laid Hadjili, Vincent Wertz, Joos Vandewalle:
Predictive control using fuzzy models - Comparative study. ECC 1999: 1511-1516
Coauthor Index
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