dc.creator | Ortiz Bravo, Víctor Alfonso | |
dc.creator | Nieto Arias, Manuel Antonio | |
dc.creator | Quintero Salazar, Edwin Andrés | |
dc.date.accessioned | 2022-09-28T13:41:46Z | |
dc.date.available | 2022-09-28T13:41:46Z | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3644097 | |
dc.language | spa | |
dc.publisher | Universidad Santo Tomás. Seccional Bucaramanga | |
dc.relation | http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/178/213 | |
dc.relation | http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/178/214 | |
dc.relation | /*ref*/R. Merwe, Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models, Oregon Health & Science University, 2004. Disponible: http:// speech.bme.ogi.edu/publications/ps/merwe04.pdf | |
dc.relation | /*ref*/A. M. Sabatini, “Real-time Kalman Filter Applied to Biomechanical Data for State Estimation and NumericalDifferentiation”, Medical, Biological Engineering & Computation, No. 43, pp. 2-10, Mar. 2003. | |
dc.relation | /*ref*/Y. Wang and M. Papagiorgiou, “Real-time Freeway Traffic State Estimation based on Extended Kalman Filter: a General Approach”, Transportation Research Part B, No. 39, pp. 141-167, May. 2005. | |
dc.relation | /*ref*/T. Park, S. Choi, C. Han and Y Lee, “Real-time Precision Displacement Measurement Interferometer using the Robust Discrete time Kalman Filter”, Optics & Laser Technology, No. 37, pp. 229-234, Sep. 2005. | |
dc.relation | /*ref*/C. Kownacki, “Optimization Approach to Adapt Kalman Filters for the Real-time Application of Accelerometer and Gyroscope Signals’ Filtering”, Digital Signal Processing, No. 21, pp. 131-140, Oct. 2011. | |
dc.relation | /*ref*/O. I. Kiselichnik and M. Bodson, “Nonsensor Control of Centrifugal Water Pump with Asynchronous ElectricDrive Motor Based on Extended Kalman Filter”, Russian Electrical Engineering, Vol. 82, No. 2, pp. 69-75 Sep. 2011. | |
dc.relation | /*ref*/G. Evensen, “The Ensemble Kalman Filter: Theoretical Formulation and Practical Implementation”, Ocean Dynamics, No. 53, pp. 343-367, Apr. 2003. | |
dc.relation | /*ref*/Texas Instruments, “Sensorless Control with Kalman Filter on TMS320 Fixed-Point DSP”, TMS320F2812 Digital Signal Processor Application Notes. Disponible: http://www.ti.com/lit/an/ bpra057/bpra057.pdf | |
dc.relation | /*ref*/F. R. Rubio, M. J. López, Control Adaptativo y Robusto. Universidad de Sevilla, 1996, pp. 27-44. | |
dc.relation | /*ref*/L. Ljung, System Identification Theory for the User, 2nd ed., Prentice Hall, 1999, pp. 361-382. | |
dc.relation | /*ref*/J. V. Bobál, J. Bohm, J. Fessl and J. Machácek, DigitalSelf-tuning Controllers, Springer, 2005, pp. 26-50. | |
dc.relation | /*ref*/S. Haykin, Kalman Filtering and Neural Networks, Wiley-Interscience, 2001, pp. 1-21. | |
dc.relation | /*ref*/P. S. Maybeck, Stochastic Models, Estimation and Control, 1979. Disponible: http://www.cs.unc.edu/~ welch/kalman/ Consultado el 23 de febrero de 2012. | |
dc.relation | /*ref*/G. Evenses, Ensemble Kalman Filter: theoretical Formulation and Practical Implementation. 2003. | |
dc.relation | /*ref*/J. G. Díaz, A. M. Mejía y F. Arteaga, “Aplicación de los Filtros de Kalman a Sistemas de Control”. Revista INGENIERÏA UC, Vol. 8, No 1, pp. 1-18, Jun. 2001. | |
dc.relation | /*ref*/Texas Instruments, “TMS320F2812 Digital Signal Processor Data Sheet”. Disponible: http://www.ti.com/ lit/ds/ sprs174t/sprs174t.pdf Consultado el 10 de octubre de 2012. | |
dc.relation | /*ref*/L. E. Avendaño. Sistemas Electrónicos Analógicos un Enfoque Matricial. Universidad Tecnológica de Pereira, 2007, pp. 104-108. | |
dc.rights | Copyright (c) 2018 ITECKNE | |
dc.source | ITECKNE; Vol 10, No 1 (2013); 37-44 | |
dc.source | 2339-3483 | |
dc.source | 1692-1798 | |
dc.source | ITECKNE; Vol 10, No 1 (2013); 37-44 | |
dc.title | Metodología para la estimación de parámetros en tiempo real mediante filtros de Kalman y mínimos cuadrados | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |