Design of optimum fuzzy controller using genetic algorithms

Ibrahim Eksin; Osman Kaan Erol

Design of optimum fuzzy controller using genetic algorithms

Ibrahim Eksin^*
, Osman Kaan Erol

^*Bu çalışma için yazışmadan sorumlu yazar

Kontrol ve Otomasyon Mühendisliği Bölümü

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

2 Atıf (Scopus)

Özet

This paper describes a new method for determining optimum fuzzy controller decision table. By the implementation of genetic algorithms, the need for heuristic fuzzy rules is omitted. Whether the system is known or not, this method gives successful results. The simulation results are also compared with a classical PID controller to show the improvement.

Orijinal dil	İngilizce
Sayfalar	186-190
Sayfa sayısı	5
Yayın durumu	Yayınlandı - 1996
Etkinlik	Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) - Bari, Italy Süre: 13 May 1996 → 16 May 1996

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???event.eventtypes.event.conference???	Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)
Şehir	Bari, Italy
Periyot	13/05/96 → 16/05/96

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Design of optimum fuzzy controller using genetic algorithms",

abstract = "This paper describes a new method for determining optimum fuzzy controller decision table. By the implementation of genetic algorithms, the need for heuristic fuzzy rules is omitted. Whether the system is known or not, this method gives successful results. The simulation results are also compared with a classical PID controller to show the improvement.",

author = "Ibrahim Eksin and Erol, \{Osman Kaan\}",

year = "1996",

language = "English",

pages = "186--190",

note = "Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) ; Conference date: 13-05-1996 Through 16-05-1996",

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TY - CONF

T1 - Design of optimum fuzzy controller using genetic algorithms

AU - Eksin, Ibrahim

AU - Erol, Osman Kaan

PY - 1996

Y1 - 1996

N2 - This paper describes a new method for determining optimum fuzzy controller decision table. By the implementation of genetic algorithms, the need for heuristic fuzzy rules is omitted. Whether the system is known or not, this method gives successful results. The simulation results are also compared with a classical PID controller to show the improvement.

AB - This paper describes a new method for determining optimum fuzzy controller decision table. By the implementation of genetic algorithms, the need for heuristic fuzzy rules is omitted. Whether the system is known or not, this method gives successful results. The simulation results are also compared with a classical PID controller to show the improvement.

UR - https://www.scopus.com/pages/publications/0030368682

M3 - Paper

AN - SCOPUS:0030368682

SP - 186

EP - 190

T2 - Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)

Y2 - 13 May 1996 through 16 May 1996

ER -

Design of optimum fuzzy controller using genetic algorithms

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap