نتایج جستجو برای: type 2 fuzzy logic

تعداد نتایج: 3634762  

2013
Vandna Kamboj Amrit Kaur

Load sensor is developed using mamdani fuzzy inference system and sugeno fuzzy inference system. It is two input and one output sensor. Both mamdani-type fuzzy inference system and sugeno-type fuzzy inference system are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between these two fuzzy inference system and their simulated results are compared. Index Ter...

2005
Shaoyuan Li Xianxia Zhang X. ZHANG

A fuzzy logic controller with interval-valued inference mechanism is presented for the control of distributed parameter system (DPS). Interval-valued fuzzy set, a special case of type-2 fuzzy set, is innovatively designed to cope with the spatial information of distributed parameter systems. The proposed fuzzy logic controller is composed of six modules: fuzzifier, fuzzy composition, rules, inf...

2015
Xuqing Le Jurek Sasiadek Ying Dong Jin Bai

In this research work, an approach for fire detection and estimation robots is presented. The approach is based on type-2 fuzzy logic system that utilizes measured temperature and light intensity to detect fires of various intensities at different distances. Type-2 fuzzy logic system (T2 FLS) is known for not needing exact mathematic model and for its capability to handle more complicated uncer...

2016
Juan M.J. Ramos Eduardo Reyes Jonam L. Sanchez José I. Hernandez Gerardo M. Méndez

This paper describes the stepper motor position control implemented using a novel nonsingleton type-1 fuzzy logic system to update the gains of the professional proportional-integral-derivative controller running on ATMEGA 2560 microcontroller. In this work, three controllers are compared: a) the professional proportional-integral-derivative controller, b) the type-1 singleton fuzzy logic syste...

Journal: :Soft Comput. 2008
Yu Qiu Hong Yang Yanqing Zhang Yichuan Zhao

In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system (FLS). In order to make the type-2 FLS reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and probability type reduce reasoning method for the interval-valued FLS are developed. We have...

Journal: :Engineering, Technology & Applied Science Research 2018

Journal: :International journal of electrical & electronics research 2022

This Article exhibits the structure of a Modified Type-2 (MT2) Fuzzy Logic (FL) Controller (MT2FLC), direction line programming development, also performance optimization for different power systems. The implementation MT2FLC control system. New participation capacities were considered in adjusting domain an Interval (IT2) System (IT2FLS). Another graphic user interface (GUI) mimicked four cont...

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