Compound digital filter
| Autor: | José de Jesús Medel Juárez, Juan Carlos García Infante, Gonzalo Isaac Duchen Sánchez |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Revista Facultad de Ingeniería Universidad de Antioquia, Iss 69 (2014) |
| Druh dokumentu: | article |
| ISSN: | 0120-6230 2422-2844 |
| DOI: | 10.17533/udea.redin.18128 |
| Popis: | This paper describes the identification by the compound digital filter with two estimators involved in the Kalman filter, the first corresponds to stochastic gradient describing the transition function and the second obtains the innovation process gain through fuzzy logic. The filtering process has time constraints for your response occurring before the reference system changes to another state. The results are formally described throughout the document. Auto-Regressive Moving Averages model was proposed (ARMA (1, 1)) as the reference system. The filtering algorithm was developed in MatLab® software getting the integrated filter operations illustrated with its graphics of convergence and response, concluding with brief an analysis of the results. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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