Derivation of fuzzy controller for DC/DC converters using neural networks

W. C. So; Chi Kong Tse

Derivation of fuzzy controller for DC/DC converters using neural networks

W. C. So
, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.

Original language	English
Pages (from-to)	85-90
Number of pages	6
Journal	Journal of Electrical and Electronics Engineering, Australia
Volume	16
Issue number	2
Publication status	Published - 1 Dec 1996

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

@article{e3a31061e18e476db8c7e96f0ff37396,

title = "Derivation of fuzzy controller for DC/DC converters using neural networks",

abstract = "The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.",

author = "So, \{W. C.\} and Tse, \{Chi Kong\}",

year = "1996",

month = dec,

day = "1",

language = "English",

volume = "16",

pages = "85--90",

journal = "Journal of Electrical and Electronics Engineering, Australia",

issn = "0725-2986",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - Derivation of fuzzy controller for DC/DC converters using neural networks

AU - So, W. C.

AU - Tse, Chi Kong

PY - 1996/12/1

Y1 - 1996/12/1

N2 - The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.

AB - The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.

UR - https://www.scopus.com/pages/publications/0030157245

M3 - Journal article

SN - 0725-2986

VL - 16

SP - 85

EP - 90

JO - Journal of Electrical and Electronics Engineering, Australia

JF - Journal of Electrical and Electronics Engineering, Australia

IS - 2

ER -

Derivation of fuzzy controller for DC/DC converters using neural networks

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this