Gaussian clarification based on sign function

Fuente: Redalyc
Salvato in:
Dettagli Bibliografici
Autore principale: José de Jesús Medel-Juárez
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2016
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1876437117276520448
author José de Jesús Medel-Juárez
author_facet José de Jesús Medel-Juárez
contents Gaussian clarification based on sign function José de Jesús Medel-Juárez Mario Espinosa-Santiago José Luis Fernández-Muñoz Ingeniería Fuzzy Logic Clarification Identification Stochastic Process This paper presents a clarification model in the fuzzy sense ba sed on the Membership Inverse Function (MIF), in Control Theory . It is considered as an identification and requires bounded input and output signals. The sign function and its derivative is regarde d as a Gaussian function into the mathe matical Membership description. Specific ally, the sign function consider s the difference between the ab solute state variable values and its centroid , rather than remaining in the triangle inequality. Therefore, the theoretical result applied in Matlab® using the reference values as an ident ification process in an Auto Re gressive Moving Average (ARMA) ( 1, 1) model describes the perfo rmance. The clarification converging in almost all points of the desire d signal depends on the different initial conditions. The conve rgence obtained by the functional error built by the second probability moment was also used and applied in the same software giving an illust rative description. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49648868029 https://www.redalyc.org/journal/496/49648868029/ https://www.redalyc.org/journal/496/49648868029/html/ https://www.redalyc.org/journal/496/49648868029/49648868029.epub https://www.redalyc.org/journal/496/49648868029/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.199 Vol.83
format Artículo científico
id redalyc_49648868029
institution Redalyc
language en
publishDate 2016
publisher Universidad Nacional de Colombia
spellingShingle Gaussian clarification based on sign function
José de Jesús Medel-Juárez
Ingeniería
Fuzzy Logic
Clarification
Identification
Stochastic Process
Gaussian clarification based on sign function José de Jesús Medel-Juárez Mario Espinosa-Santiago José Luis Fernández-Muñoz Ingeniería Fuzzy Logic Clarification Identification Stochastic Process This paper presents a clarification model in the fuzzy sense ba sed on the Membership Inverse Function (MIF), in Control Theory . It is considered as an identification and requires bounded input and output signals. The sign function and its derivative is regarde d as a Gaussian function into the mathe matical Membership description. Specific ally, the sign function consider s the difference between the ab solute state variable values and its centroid , rather than remaining in the triangle inequality. Therefore, the theoretical result applied in Matlab® using the reference values as an ident ification process in an Auto Re gressive Moving Average (ARMA) ( 1, 1) model describes the perfo rmance. The clarification converging in almost all points of the desire d signal depends on the different initial conditions. The conve rgence obtained by the functional error built by the second probability moment was also used and applied in the same software giving an illust rative description. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49648868029 https://www.redalyc.org/journal/496/49648868029/ https://www.redalyc.org/journal/496/49648868029/html/ https://www.redalyc.org/journal/496/49648868029/49648868029.epub https://www.redalyc.org/journal/496/49648868029/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.199 Vol.83
title Gaussian clarification based on sign function
topic Ingeniería
Fuzzy Logic
Clarification
Identification
Stochastic Process
url https://www.redalyc.org/articulo.oa?id=49648868029
https://www.redalyc.org/journal/496/49648868029/
https://www.redalyc.org/journal/496/49648868029/html/
https://www.redalyc.org/journal/496/49648868029/49648868029.epub
https://www.redalyc.org/journal/496/49648868029/movil