An approach for dynamical adaptive fuzzy modeling

M. Cerrada; J. Aguilar; E. Colina; A. Titli

An approach for dynamical adaptive fuzzy modeling

M. Cerrada, J. Aguilar, E. Colina, A. Titli

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.

Original language	English (US)
Pages (from-to)	156-161
Number of pages	6
Journal	IEEE International Conference on Fuzzy Systems
Volume	1
State	Published - 2002
Externally published	Yes
Event	2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: May 12 2002 → May 17 2002

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

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title = "An approach for dynamical adaptive fuzzy modeling",

abstract = "In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.",

author = "M. Cerrada and J. Aguilar and E. Colina and A. Titli",

year = "2002",

language = "English (US)",

volume = "1",

pages = "156--161",

journal = "IEEE International Conference on Fuzzy Systems",

issn = "1098-7584",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 ; Conference date: 12-05-2002 Through 17-05-2002",

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TY - JOUR

T1 - An approach for dynamical adaptive fuzzy modeling

AU - Cerrada, M.

AU - Aguilar, J.

AU - Colina, E.

AU - Titli, A.

PY - 2002

Y1 - 2002

N2 - In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.

AB - In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.

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UR - http://www.scopus.com/inward/citedby.url?scp=0036458292&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036458292

SN - 1098-7584

VL - 1

SP - 156

EP - 161

JO - IEEE International Conference on Fuzzy Systems

JF - IEEE International Conference on Fuzzy Systems

T2 - 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02

Y2 - 12 May 2002 through 17 May 2002

ER -

An approach for dynamical adaptive fuzzy modeling

Abstract

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