Fuzzy Logic: Quick Start Guide

Name: Fuzzy Logic: Quick Start Guide
Rating: 4.3 (103 reviews)

Artificial Intelligence & Soft Computing with MATLAB

Created byDr. Jignesh Makwana

Last updated 6/2023

English

What you'll learn

You will have clear idea about ‘what fuzzy logic is?’
You will be able to apply fuzzy logic to different applications of your relevant field.
You will have skill to develop fuzzy logic system for various applications in MATLAB fuzzy logic tool box.
You will be able to interface fuzzy logic system in MATLAB Simulink environment.

Course content

10 sections • 24 lectures • 3h 49m total length

Course Introduction3:13
Explore fuzzy logic concepts and implement them in MATLAB using the fuzzy logic toolbox with Simulink to apply artificial intelligence and soft computing to real-life problems across engineering and beyond.

Introduction to Fuzzy Logic10:51
Explore fuzzy logic as a rule-based, expert-driven approach that reduces mathematical burden by using linguistic variables, membership functions, and domain rules to map inputs to outputs.
Understnad Fuzzy Logic with an Example22:09
Fuzzy Logic Toolbox of MATLAB5:10
Add Inputs and Outputs3:01
Add Membership Functions of Each Inputs & Output12:57
Add Rules4:45
Analyse the Rules & Response of the system10:21
Explore how fuzzy logic rules, membership functions, and rule aggregation drive the system output; observe rule contributions and the final tip through the rule viewer and interactive inputs.
Interface of Designed Fuzzy Logic System with MATLAB Simulink13:47
Summary4:18

Requirements

There is no prerequisites, anyone can understand the concept of fuzzy logic

Description

About Course:

Course is designed to understand concept of Fuzzy Logic & its implementation in MATLAB

Introduction:

Fuzzy Logic & ANN (Artificial Neural Network) are two most important tools of Artificial Intelligence & Machine Learning. This course is design to explain Fuzzy Logic Controller in most simplified way. Course flow is specially designed for quick start straight through applications & implementation. It mainly focuses on implementation of Fuzzy Logic with MATLAB toolbox and its interface in Simulink environment.

What's unique in this course?

Course contents & it’s flow are designed to understand concept of fuzzy logic in most simplified manner
It is designed and executed to get quick hands-on practices on various real life examples with MATLAB Fuzzy Logic Tool Box and its interface with Simulink.
Course is designed to cover all branches and filed including engineering & science, medical, finance, management and more.
Course will be updates continuously as much as possible with new applications and implementation of Fuzzy Logic.

Who this course is for:

Course is highly recommended to engineering UG/PG students of any branch to apply power of artificial intelligence and soft computing in your relevant field.
Course will provide new area of research and publication possibilities for research scholars of various field.
Course is recommended to all enthusiastic school students from age of 12 and above.
Course is for all who are curious to understand soft computing, artificial intelligence and fuzzy logic system.

Fuzzy Logic: Quick Start Guide

What you'll learn

Explore related topics

Course content

Course Introduction1 lecture • 3min

Understand & Implement Fuzzy Logic with MATLAB9 lectures • 1hr 27min

Temperature Controlled FAN2 lectures • 23min

Fuzzy Logic in Four Steps3 lectures • 41min

Fuzzy Logic Based Washing Machine1 lecture • 15min

Applications1 lecture • 5min

Fuzzy Logic Controller (FLC)2 lectures • 14min

Simulation of Fuzzy Based DC Motor Controller3 lectures • 40min

Course Resources1 lecture • 1min

Summary1 lecture • 2min

Requirements

Description

Who this course is for: