TY - JOUR
T1 - Fuzzy digital filter type III
AU - Jesús Medel Juárez, J.
AU - García Infante, Juan C.
AU - Carlos Sánchez García, J.
PY - 2011/4
Y1 - 2011/4
N2 - A digital filter interacts with a reference model signal into a real process in order to obtain the best corresponding answer, having the minimum filter output error using the mean square criterion. A fuzzy mechanism into the filter structure was added obtaining an intelligent filter, selecting and emitting an answer decision according to the external reference signal changes. This is in order to actualize the best correct new conditions updating a dynamic process. The fuzzy filter makes an interpretation of the input signal level to select the best parameter values from a set of membership values into the knowledge base (KB), updating the filter weights giving the approximation answers according to the reference signal. This fuzzy stage improves the filter answers, minimizing the filter error criterion with a classification of its operation levels. The filtering process requires that all answers of the error criteria are probabilistically bounded, considering the Nyquist and Shannon assumptions, having the fuzzy filter simulations using Matlab
AB - A digital filter interacts with a reference model signal into a real process in order to obtain the best corresponding answer, having the minimum filter output error using the mean square criterion. A fuzzy mechanism into the filter structure was added obtaining an intelligent filter, selecting and emitting an answer decision according to the external reference signal changes. This is in order to actualize the best correct new conditions updating a dynamic process. The fuzzy filter makes an interpretation of the input signal level to select the best parameter values from a set of membership values into the knowledge base (KB), updating the filter weights giving the approximation answers according to the reference signal. This fuzzy stage improves the filter answers, minimizing the filter error criterion with a classification of its operation levels. The filtering process requires that all answers of the error criteria are probabilistically bounded, considering the Nyquist and Shannon assumptions, having the fuzzy filter simulations using Matlab
KW - digital filtering
KW - estimation
KW - fuzzy systems
KW - stability
UR - http://www.scopus.com/inward/record.url?scp=79958163742&partnerID=8YFLogxK
U2 - 10.3103/S0146411611020040
DO - 10.3103/S0146411611020040
M3 - Artículo
SN - 0146-4116
VL - 45
SP - 113
EP - 121
JO - Automatic Control and Computer Sciences
JF - Automatic Control and Computer Sciences
IS - 2
ER -