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
Ph.d, IIT Roorkee
In 2013, Dr. Jignesh Makwana earned a Ph.D. in Electrical Engineering from the Indian Institute of Technology Roorkee. Since the previous 15 years, he has been teaching power electronics, electric drives, control systems, and other subjects in engineering colleges. From 2013 until 2017, he was an associate professor and the head of the Electrical Engineering Department at Marwadi University in Rajkot. He currently works as a product design and development consultant for a number of firms in the fields of electric drives and power electronics. He also assists numerous reputable universities in developing engineering curricula and syllabuses as a BOS member.
See what others have to say.....
"The course is very helpful. we can create simple projects"
- Suresh K
"Good morning, I'm not very good with English, I'm fine with you, I'm a master's degree student in electrical engineering, I'm studying intelligent systems, I intend to use fuzzy in my dictation, have a certain knowledge of fuzzy, FUZZY in MATLAB, your training helped me a lot."
- Kleber Zeitounian
"amazing course. thanks"
- C M Malakani
"One of the best course for neophyte to learn about the fuzzy tool box in Matlab."
- AAlok Manishkumar Patel
"Thanks to the course. Finally I completed first course and got certificate. Now I am very clear and confident about using fuzzy logic with MATLAB. Its really an easy steps and practice to start fuzzy logic for anyone. However mathematics are are bit less, but it well covers fundamental and implementation with MATLAB."
- Yash M