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Fuzzy Logic Toolbox

Learn more about Fuzzy Logic Toolbox through product examples and online seminars that highlight features or application examples.
 

Getting Started with Fuzzy Logic Toolbox (Part 1)   5:05

Use Fuzzy Logic Toolbox to design and simulate fuzzy logic systems.

 

Getting Started with Fuzzy Logic Toolbox (Part 2)   8:06

Use Fuzzy Logic Toolbox to design and simulate fuzzy logic systems.

 

Getting Started with Fuzzy Logic Toolbox (Part 3)   4:46

Use Fuzzy Logic Toolbox to design and simulate fuzzy logic systems.

 

Fuzzy Logic Controller in Simulink   3:44

Integrate a fuzzy logic controller into a Simulink model.

 

Modeling Inverse Kinematics in a Robotic Arm  

This example illustrates using adaptive neuro-fuzzy inference system to model the inverse kinematics in a two-joint robotic arm.

 

Using Lookup Table in Simulink to Implement Fuzzy PID Controller  

This example illustrates how to use a 2-D Lookup Table block to implement a fuzzy inference system for nonlinear fuzzy PID control.

 

Fuzzy C-Means Clustering  

This example illustrates performing fuzzy c-means clustering on 2-dimensional data.

 

Defuzzification Methods  

This example shows five defuzzification methods supported in the Fuzzy Logic Toolbox.

 

Nonlinear System Identification  

This example addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. It compares a nonlinear ANFIS model with a linear ARX model.

 

Modeling Traffic Patterns using Subtractive Clustering  

This example demonstrates the use of subtractive clustering to model traffic patterns in an area based on the area's demographics.

 

Gas Mileage Prediction  

This example illustrates the prediction of fuel consumption (miles per gallon) for automobiles, using data from previously recorded observations.

 

Adaptive Noise Cancellation  

This is an example of adaptive nonlinear noise cancellation using Fuzzy Logic Toolbox.

 

Fuzzy C-Means Clustering for Iris Data  

This example illustrates how to use Fuzzy C-Means clustering for Iris dataset.

 

Chaotic Time-Series Prediction  

This example illustrates prediction of time-series data value from past data using neuro-adaptive learning method.


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