Type-2 Fuzzy Logic: Theory and Applications

Kong, Lingbo; Chen, Zhe; Yin, Fuliang

doi:10.1109/grc.2007.118

Cited by 136 publications

(84 citation statements)

References 7 publications

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“…Tip-2 bulanık mantık sistemlerin kural yapısındaki öncül ve/veya sonuç önermeleri T2-BK'leriyle ifade edilmektedir. Sistemin çıkışını hesaplayabilmek için, ilk önce bulanıklaştırıcı bloğunda keskin veya bulanık girişler T2-BK'lara dönüştürülürler [17], [18], [21]. Daha sonra, bulanık çıkarım mekanizması tanımlanmış kuralları ve operatörleri kullanarak giriş T2 bulanık değerlerini çıkış T2 bulanık değerlerine dönüştürür.…”

Section: Aralık Değerli Tip-2 Bulanık Kontrolörlerunclassified

“…Elde edilen T2-BK çıkışları, tip indirgeme mekanizması ile T1-BK'lere dönüşürler. Tip azaltılması işlemi ile elde edilen kümeler durulayıcı mekanizması ile keskin çıkışlara dönüştürülürler [17], [18], [21], [22].…”

Section: Aralık Değerli Tip-2 Bulanık Kontrolörlerunclassified

“…Performansının iyileştirilmesinde ADT2-BPID kontrolörünün kontrol sistemine öncül önermelerindeki üyelik fonksiyonlarına Belirsizliklerin İzi (Bİ) aracılığıyla sağladığı ekstra serbestlik derecesinin etkisinin olduğu birçok çalışmada gösterilmiştir [11]- [17]. Ayrıca olası ADT2-BPID kontrolör tasarımının, parametreleri Pamukkale Univ Muh Bilim Derg, 22 (8), 643-649, 2016(TOK'2015 T. Kumbasar belirlenmiş T1-BPID kontrolörün üyelik fonksiyonlarının farklı en iyileme yöntemleriyle AT2-BK'lere genişletilebileceği belirtilmiştir [15]- [18]. Ancak günümüzde hala ADT2-BPID kontrolörleri için öz-ayarlama yöntemlerine ilişkin çalışmalar oldukça yenidir ve sınırlıdır [19], [20].…”

Section: Introductionunclassified

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Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Kumbasar¹

2016

Pamukkale J Eng Sci

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Section: Aralık Değerli Tip-2 Bulanık Kontrolörlerunclassified

Section: Introductionunclassified

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Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Kumbasar¹

2016

Pamukkale J Eng Sci

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“…In 1973, Zadeh published another paper which established the foundation for fuzzy control. In that paper he introduced the concept of linguistic variables and proposed the IF-THEN rules to formulate human knowledge [10,11]. The term fuzzy logic has been used in two different senses [12].…”

Section: Expert Controller (Flc) Formulationmentioning

confidence: 99%

Design an Innovative Smart Control Scheme to Hybridize Conventional and Expert Controllers

Aboattia¹

2016

ijecs

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Abstract:The purposes of the proposed research present approaches to the design of an Innovative Smart Control Scheme (SCS) methodology mergers the proposed local controllers (conventional PID and the expert controller such as fuzzy Logic controllers (FLC)) in a smart way. This SCS switching and merging mechanism depends on FLC that monitors the process state and act as a supervisory to make hybrid control between the local controllers. A local controller is an analytical controller designed to work around specific process operation .Once the conditions change, the rule-based supervisor decreases the influence of one classical controller (PI) and gives more weight to another intelligent controller (Fuzzy Logic) that has been designed to work in the new conditions. Application of the suggested (SCS) on a simple plant which could be a resonator in proposed system, DC machine is introduced and better response of the new proposed SCS is presented. The performance of SCS will compared to the FLC and PID. MATLAB/SIMULINK program is projected for Comparison testing by applying different disturbances cases.

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“…The fuzzy set theory has been used in control engineering since it was first introduced in 1965 [3]. An inference system, which is the core structure of the fuzzy control system, consists of input and output membership functions, a knowledge base, fuzzification, an inference engine, and defuzzification.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy impedance and force control of a Stewart platform

Kizir¹,

Bingül²

2014

Turk J Elec Eng & Comp Sci

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Abstract:A new, simple, and effective control method is proposed for the position-based impedance and force control of a Stewart platform (SP). The control approach can be divided into 3 parts, namely position control in free space, impedance control in contact, and force control. An impedance filter is developed to achieve the desired behavior between the position and force. The gain of the filter is modified by a fuzzy logic proportional-integral-derivative

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Type-2 Fuzzy Logic: Theory and Applications

Cited by 136 publications

References 7 publications

Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Design an Innovative Smart Control Scheme to Hybridize Conventional and Expert Controllers

Fuzzy impedance and force control of a Stewart platform

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