نتایج جستجو برای: type 1 and type 2 fuzzy logic controllers

تعداد نتایج: 17655107  

2015
Juan Zhao Lihui Jiang

Type-2 fuzzy logic to make up for the lack of a type of fuzzy logic in dealing with uncertainty, object contains uncertainty is strong; the application of type-2 fuzzy logic advantage is more obvious. In this paper, type-2s of fuzzy logic for power load time series forecasting, good results were obtained. According to the power load has strong randomness it is difficult to accurately forecast p...

2008
V. VARSHAVSKY V. MARAKHOVSKY I. LEVIN H. SAITO

This paper offers a new technique for designing fuzzy controllers as analog hardware devices on bases of CMOS implementation of multi-valued logical functions. This approach is based on using a summing amplifier with saturation as a building block that can be considered as a multi-threshold logical element. The functional completeness in an arbitrary-valued logic of a summing amplifier with sat...

2005
Panagiotis Michael Stamatis Manesis

The dynamic behavior of an industrial tunneltype furnace is of the fundamental importance for the quality of the processed products. The knowledge of the furnace dynamics can make the control of the system easier as well as it can eliminate certain operational problems. The various subsystems existent in a tunnel-type furnace are usually controlled by conventional techniques and independent con...

Journal: :Axioms 2021

A proposed architecture to design the optimal parameters of Membership Functions (MFs) Type-1 Fuzzy Logic Systems (T1FLSs) using Chicken Search Optimization (CSO) is applied three Controllers (FLCs) in this paper. Two types MFs are considered study: triangular and trapezoidal ones. The performance efficiency CSO algorithm particularly good when perturbations added during execution each control ...

predicting the effort of a successful project has been a major problem for software engineers the significance of which has led to extensive investigation in this area. One of the main objectives of software engineering society is the development of useful models to predict the costs of software product development. The absence of these activities before starting the project will lead to variou...

2005
Ling Gu LING GU Yanqing Zhang Raj Sunderraman Ying Zhu

Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using t...

2009
Juan R. Castro Oscar Castillo Patricia Melin Antonio Rodríguez Díaz Olivia Mendoza

Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function. Recent research shows that embedding T1FLS on an NN or embedding IT2FLS on an NN can be very effective for a wide number of non-linear complex systems, especially when handling imperfect information. In this paper we...

Journal: :journal of advances in computer research 0
vahid khodashenas limouni department of electrical engineering, ali abad katoul branch, islamic azad university, ali abad katoul, iran young researchers and elite club, ali abad katoul branch, islamic azad university, ali abad katoul, iran s.asghar gholamian faculty of electrical and computer engineering, babol university of technology, babol, iran mehran taghipour gorjikolaie faculty of electrical engineering, university of birjand, birjand, iran

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

Journal: :Journal of Intelligent Learning Systems and Applications 2012

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