Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.ugto.mx/handle/20.500.12059/9495
Título: Development and critical evaluation of robust H∞ filters
Autor: JUAN JOSÉ LÓPEZ SOLÓRZANO
ID del Autor: info:eu-repo/dai/mx/cvu/1071055
Contributor: YURIY SHMALIY
Contributor's IDs: info:eu-repo/dai/mx/cvu/26159
Resumen: This work presents a discrete convolution-based H∞ finite impulse response (H∞ FIR) filter. The a posteriori H∞ FIR filter is developed by minimizing the squared H∞ norm of the weighted disturbance-to-error transfer function, where the weights are related to errors. Since minimization isn’t reachable without numerical approximations, Linear Matrix Inequality (LMI) based algorithms are derived to compute the filter gain in batch form, also recursive (Kalman-like) forms of the filter are provided in this work. It is shown numerically and experimentally that for disturbed systems operating under measurement and initial errors, the developed H∞ FIR filter surpasses the Kalman filter in accuracy and has almost the same robustness as an unbiased FIR filter.
Fecha de publicación: ene-2023
Editorial: Universidad de Guanajuato
Licencia: http://creativecommons.org/licenses/by-nc-nd/4.0
URI: http://repositorio.ugto.mx/handle/20.500.12059/9495
Idioma: eng
Aparece en las colecciones:Maestría en Ingeniería Eléctrica (Instrumentación y Sistemas Digitales)

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