NDLI: Fuzzy digital filter type III

Content Provider	Springer Nature Link
Author	Jesús Medel Juárez, J. García Infante, Juan C. Carlos Sánchez García, J.
Copyright Year	2011
Abstract	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© tools into the Kalman structure.
Starting Page	113
Ending Page	121
Page Count	9
File Format	PDF
ISSN	01464116
Journal	Automatic Control and Computer Sciences
Volume Number	45
Issue Number	2
e-ISSN	1558108X
Language	English
Publisher	Allerton Press, Inc.
Publisher Date	2011-05-06
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	digital filtering fuzzy systems estimation stability Control Structures and Microprogramming
Content Type	Text
Resource Type	Article
Subject	Signal Processing Control and Systems Engineering Software

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