Why this course?
Understand concept of Fuzzy Logic & its implementation with MATLAB
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.
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.
What you'll learn
You will have clear idea about ‘what fuzzy logic is?’
You will go through quick hands-on practices on various real life examples with MATLAB Fuzzy Logic Tool Box and interface it with Simulink.
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.
Anyone interested to understand fuzzy logic can go through this course.
Course is designed to cover all branches and filed including engineering & science, medical, finance, management and more.
Ch. 1: Introduction to Fuzzy Logic
1.1: Course Introduction
1.2: Introduction to Fuzzy Logic
1.3: Understand Fuzzy Logic with an Example
Ch 2: Fuzzy Logic with MATLAB Tool Box
2.1: Introduction to MATLAB Fuzzy Logic Tool Box
2.2: How to add Inputs & Outputs Variables
2.3: How to add Membership Functions
2.4: How to Decide and add Rules
2.5: Analyze Rules and Response
2.6: How to interface Fuzzy Logic System with Simulink
Ch 3: Fuzzy Logic Based Temperature Controlled Fan
3.1: Design of Fuzzy Logic Based Temperature Controlled Fan
3.2: Implementation of Fuzzy Logic Based Temperature Controlled Fan
Ch 4: Fuzzy Logic in Four Easy Steps
4.1: Step 1 - Fuzzification & Step 2 - Membership Function
4.2: Step 3 - Deciding Rules
4.3: Step 4 - Defuzzyfication
Ch 5: Fuzzy Logic Based Washing Machine
5.1: Design & Implementation of Fuzzy Logic Based Washing Machine
Ch 6: Fuzzy Logic as Controller - FLC
6.1: Introduction to Fuzzy Logic Controller
6.2: Fuzzy Logic Controller for DC Motor Speed Controller
Ch 7: FLC Based DC Motor Speed Control System
7.1: Simulation of Dc Motor Speed Control System
7.2: Designing Fuzzy Logic Controller for Dc Motor Speed Control
7.3: Simulation of FLC Based DC Motor Speed Control Sytem
Ch 8: Applications of Fuzzy Logic
8.1: Other Applications of Fuzzy Logic