On identification in fuzzy systems and its applications in control problems

Ernest CzogaŁa; Witold Pedrycz

doi:10.1016/0165-0114(81)90081-6

On identification in fuzzy systems and its applications in control problems

Ernest CzogaŁa
, Witold Pedrycz

Katedra Pomiarów i Systemów Sterowania (RAU/RAU2)

Silesian University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

145 Cytowania z bazy Scopus

Abstrakt

The problem of identification in fuzzy systems described by the use of fuzzy equation is considered. The identification method and its performance index is also presented. The formal procedure of the identification algorithm is illustrated by means of a numerical example. The possibility of using the proposed algorithm for the solution of a control problem is given as well.

Język oryginału	angielski
Strony (od–do)	73-83
Liczba stron	11
Czasopismo	Fuzzy Sets and Systems
Tom	6
Numer wydania	1
Identyfikatory DOI	https://doi.org/10.1016/0165-0114(81)90081-6
Status publikacji	Opublikowano - lip 1981

Obszary tematyczne ASJC Scopus

Logika
Sztuczna inteligencja

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title = "On identification in fuzzy systems and its applications in control problems",

abstract = "The problem of identification in fuzzy systems described by the use of fuzzy equation is considered. The identification method and its performance index is also presented. The formal procedure of the identification algorithm is illustrated by means of a numerical example. The possibility of using the proposed algorithm for the solution of a control problem is given as well.",

keywords = "Control, Fuzzy equation, Fuzzy relation, Identification, Quality of the identification method",

author = "Ernest Czoga{\L}a and Witold Pedrycz",

year = "1981",

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AU - CzogaŁa, Ernest

AU - Pedrycz, Witold

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AB - The problem of identification in fuzzy systems described by the use of fuzzy equation is considered. The identification method and its performance index is also presented. The formal procedure of the identification algorithm is illustrated by means of a numerical example. The possibility of using the proposed algorithm for the solution of a control problem is given as well.

KW - Control

KW - Fuzzy equation

KW - Fuzzy relation

KW - Identification

KW - Quality of the identification method

UR - https://www.scopus.com/pages/publications/0002310361

U2 - 10.1016/0165-0114(81)90081-6

DO - 10.1016/0165-0114(81)90081-6

M3 - Article

AN - SCOPUS:0002310361

SN - 0165-0114

VL - 6

SP - 73

EP - 83

JO - Fuzzy Sets and Systems

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IS - 1

ER -

On identification in fuzzy systems and its applications in control problems

Abstrakt

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