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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 two-dimensional fuzzy controller to achieve PID controller parameters were Kp, ki, Kd, of the regulation. The control p
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简单的模糊控制器（Fuzzy Controller）的simulink仿真！-The simulation of fuzzy logic controller (Fuzzy Controller)!
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一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
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模糊PID的MATLAB仿真...应用模糊逻辑理论在线修正P，I，D的三个参数-MATLAB simulation of the fuzzy PID fuzzy logic theory ... applications online amendment P, I, D of the three parameters
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MATLAB Program of Fuzzy Logic Controller
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摘要:介绍了一种在C 语言应用程序中调用MATLAB 资源设计模糊控制应用程序的方法。即利用Matlab Fuzzy Logic 工
具箱中的独立C 代码模糊推理引擎函数库,在C 语言应用程序中,调用Matlab Fuzzy Logic 工具箱建立的模糊推理系统数
据文件( 3 . fis) , 从而得到能独立运行的C 语言模糊控制应用程序。
关键词:MATLAB 模糊逻辑工具箱 独立C 代码模糊推理引擎 模糊控制应用程序
中图分类号: TP273 : TP391 文献标识码:
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Impulse Noise Removal through Fuzzy Logic is implemented in Matlab, Review paper is also there and ppt.
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kalman filter using fuzzy logic
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it is used to control the dc motor by using fuzzy logic controllers
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fuzzy logic control DC motor
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example for fuzzy logic controller
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boost converter using fuzzy logic
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Fuzzy logic functions by matlab
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Fuzzy logic methods implemented by Matlab
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应用模糊逻辑对直流电机转速进行控制-using the fuzzy logic to control the vitess of the motor
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电子书包含了MATLAB在神经网络控制、模糊逻辑控制、预测控制方面的应用介绍，每一部分都包括基本控制理论的介绍和MATLAB对应工具箱的介绍和实现方式。 智能控制及其MATLAB实现-E-book contains the MATLAB neural network control, fuzzy logic control, predictive control applications introduction, each part including the introduction of
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This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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利用Matlab的模糊逻辑工具箱实现模糊控制系统仿真-Using Matlab' s fuzzy logic toolbox of Fuzzy Control System
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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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BLDC motor speed and torque control using ZETA, Z-source converter, fuzzy logic
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