نتایج جستجو برای: fuzzy limit structure

تعداد نتایج: 1817043  

Pitch control is one of t he  major aspects of wind turbine control, particularly over high wi nd s p e e d  a n d  oscillations. General El e c t r i c  (GE) model of  wi n d  t ur bi ne  i s practically compatible with the structure of the wind turbines. I t  h a s  b e e n  p r o v e d t h a t  simulation results using this model are closer to the actual case, compared to other available mod...

2001
Peter R. J. Asveld

We study the structure of partially ordered monoids generated by certain operators on families of fuzzy languages. These operators are induced by simple, well-known operations on fuzzy languages, like fuzzy homomorphism, fuzzy finite substitution and intersection with regular fuzzy languages. The structure of these monoids provides better insight in the (in)dependency of closure properties of s...

Journal: :Automatica 2003
Hao Ying

Deriving the analytical structure of fuzzy controllers is very important as it creates a solid foundation for better understanding, insightful analysis, and more e1ective design of fuzzy control systems. We previously developed a technique for deriving the analytical structure of the fuzzy controllers that use Zadeh fuzzy AND operator and the symmetric, identical trapezoidal or triangular input...

Journal: :journal of advances in computer research 0
masoumeh pourhasan department of computer engineering, faculty of engineering, chalous branch, islamic azad university, chalous, mazandaran, iran abbas karimi department of computer engineering, faculty of engineering, arak branch, islamic azad university, arak, markazi, iran

some applications are critical and must designed fault tolerant system. usually voting algorithm is one of the principle elements of a fault tolerant system. two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. majority confronts with the problem of threshold limits and voter of weight...

Journal: :journal of ai and data mining 2015
m. vahedi m. hadad zarif a. akbarzadeh kalat

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

2014
Juraj Tekel

We study the phase structure of the scalar field theory on fuzzy CPn in the large N limit. Considering the theory as a hermitian matrix model we compute the perturbative expansion of the kinetic term effective action under the assumption of distributions being close to the semicircle. We show that this model admits also a uniform order phase, corresponding to the asymmetric one-cut distribution...

2005
Radek Šindelář

A method for a fuzzy hierarchical structure design is presented. The proposed method uses data to design a structure of the fuzzy subsystems. The fuzzy structure is designed level by level from data thus developing an initial fuzzy model is avoided. The methods is tested on one real-world application the daily gas consumption prediction. Copyright c ©2005 IFAC

Journal: :JILSA 2010
Juan Carlos García Infante José de Jesús Medel Juárez Juan Carlos Sánchez-García

The paper describes the operation principles of the evolutive neuro fuzzy filtering (ENFF) properties, which based on back propagation fuzzy neural net, this filter adaptively choose and emit a decision according with the reference signal changes of an external reference process, in order to actualize the best correct new conditions updating a process. This neural net fuzzy filter mechanism sel...

An idea of fuzzy reexivity of Felbin's type fuzzy normed linear spaces is introduced and its properties are studied. Concept of fuzzy uniform normal structure is given and using the geometric properties of this concept xed point theorems are proved in fuzzy normed linear spaces.

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