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人工智能中模糊逻辑算法
FuzzyLib 2.0 is a comprehensive C++ Fuzzy Logic library for constructing fuzzy logic systems with multi-controller support.
It supports all commonly used shape functions and hedges, with full support for the various types of Aggreg
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it is used to control the dc motor by using fuzzy logic controllers
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Supervisor of Digital PI-like Fuzzy Logic Controllers for Indoor Lighting Control in Buildings
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The objective of this textbook is to explain the behaviour of fuzzy-logic controllers. Under certain conditions, a fuzzy controller is equivalent to a proportional-integral-derivative (PID) controller.
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in this work we have tried to control a tanker ship using fuzzy logic and fuzzy controllers.
it s well known that we can use fuzzy logic for control purposes in two ways,first we can use fuzzy logic to make a model of the plant and use conventio
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FUZZY LOGIC ADAPTIVE CONTROLLERS
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Sophisticated Fuzzy Logic Controllers Using Genetic Algorithms
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Design of Mamdani fuzzy logic controllers with rule base
minimisation using genetic algorithm
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里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。-There are three-dimensional fuzzy regulator PID controller parameters Kp, ki Kd, adjust. The control principle: the front of the deviat
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This article presents a Fuzzy Logic scr ipting language, Fuzzscr ipt, which can be used to include fuzzy controllers in C# applications. One interesting aspect is the possibility to generate an optimized version (hardcoded) of the controller under ex
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pdf file which gives basic information relating to fuzzy logic controllers
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fuzzy logic controllers using the membership function
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Compare of 03 mppt fuzzy logic controllers
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fuzzylite is a free and open-source fuzzy logic control library programmed in C++ for multiple platforms (Windows, Linux, Mac, iOS). Its goal is to allow you to easily create fuzzy logic controllers in a few steps utilizing object-oriented programmin
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A GENERALIZED DIRECT APPROACH
FOR DESIGNING FUZZY LOGIC
CONTROLLERS IN MATLAB/SIMULINK
GUI ENVIRONMENT
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Abstract—The proportional integral derivative (PID) controller
is the most widely used control strategy in industry. The
popularity of PID controllers can be attributed partly to their
robust performance in a wide range of operating conditions
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Implementation of Fuzzy Gain Scheduling for PID Controllers in MATLAB and Simulink
Fuzzy PID Controller in MATLAB and Simulink
An approach to tune the PID controller using Fuzzy Logic, is to use fuzzy gain scheduling, which is proposed by Zhao, i
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