Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison CD Zuluaga, MA Alvarez, E Giraldo Applied Energy 156, 321-330, 2015 | 168 | 2015 |
An adaptive control strategy for a wind energy conversion system based on PWM-CSC and PMSG E Giraldo, A Garces IEEE Transactions on power systems 29 (3), 1446-1453, 2013 | 89 | 2013 |
Localization of active brain sources from EEG signals using empirical mode decomposition: a comparative study PA Muñoz-Gutiérrez, E Giraldo, M Bueno-López, M Molinas Frontiers in integrative neuroscience 12, 55, 2018 | 47 | 2018 |
Reconstruction of neural activity from EEG data using dynamic spatiotemporal constraints E Giraldo-Suarez, JD Martínez-Vargas, G Castellanos-Dominguez International Journal of Neural Systems 26 (07), 1650026, 2016 | 43 | 2016 |
Reconocimiento de patrones de movimiento a partir de señales electromiográficas GA BETANCOURT, EG Suárez, JF Franco Scientia et technica 10 (26), 53-58, 2004 | 40 | 2004 |
Estimation of dynamic neural activity using a Kalman filter approach based on physiological models E Giraldo, AJ Den Dekker, G Castellanos-Dominguez 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 33 | 2010 |
Low-density EEG for neural activity reconstruction using multivariate empirical mode decomposition A Soler, PA Muñoz-Gutiérrez, M Bueno-López, E Giraldo, M Molinas Frontiers in neuroscience 14, 175, 2020 | 32 | 2020 |
Robust multivariable adaptive control of time-varying systems F Osorio-Arteaga, JJ Marulanda-Durango, E Giraldo IAENG International Journal of Computer Science 47 (4), 605-612, 2020 | 25 | 2020 |
Teoría de control análogo D Giraldo Buitrago, E Giraldo Suárez Universidad Tecnológica de Pereira, 2009 | 19 | 2009 |
Optimal pi control of a wind energy conversion system using particles swarm S Sánchez, M Bueno, E Delgado, E Giraldo 2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA), 332-337, 2009 | 18 | 2009 |
A review of path planning and control for autonomous robots B Hernández, E Giraldo 2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA), 1-6, 2018 | 17 | 2018 |
The Mode Mixing Problem and its Influence in the Neural Activity Reconstruction. M Bueno-López, E Giraldo, M Molinas, OB Fosso IAENG International Journal of Computer Science, 2019 | 15 | 2019 |
Analysis of neural activity from EEG data based on EMD frequency bands M Bueno-López, E Giraldo, M Molinas 2017 24th IEEE International Conference on Electronics, Circuits and Systems …, 2017 | 15 | 2017 |
Multivariable Control E Giraldo Scholars' Press, 2016 | 15 | 2016 |
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization A Soler, LA Moctezuma, E Giraldo, M Molinas Scientific Reports 12 (1), 11221, 2022 | 14 | 2022 |
Adaptive control approach of microgrids JS Velez-Ramirez, M Bueno-Lopez, E Giraldo IAENG International Journal of Applied Mathematics 50 (4), 1-9, 2020 | 14 | 2020 |
Comparative analysis of time frequency representations for discrimination of epileptic activity in EEG signals JD Martinez-Vargas, LD Avendano-Valencia, E Giraldo, ... 2011 5th International IEEE/EMBS Conference on Neural Engineering, 148-151, 2011 | 14 | 2011 |
Sliding mode control applied to mimo systems F Osorio-Arteaga, D Giraldo-Buitrago, E Giraldo Engineering Letters 27 (4), 802-806, 2019 | 13 | 2019 |
Electroencephalographic source localization based on enhanced empirical mode decomposition BL Maximiliano, MG Pablo Andrés, G Eduardo, MM Molinas Cabrera International Association of Engineers, 2019 | 10 | 2019 |
Bio-inspired Control Based on a Cerebellum Model Applied to a Multivariable Nonlinear System. CD Molina-Machado, E Giraldo Engineering Letters 28 (2), 2020 | 9 | 2020 |