Udemy

Fuzzy Logic, Labview and Arduino

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  • 4,098 Students
  • Updated 10/2020
4.3
(127 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 2 Minute(s)
Language
English
Taught by
Carlos Javier Moreno Gomez
Rating
4.3
(127 Ratings)

Course Overview

Fuzzy Logic, Labview and Arduino

Combine hardware and software techniques to create powerful AI (Fuzzy systems) to solve Real-World requirements

In this course you will learn Fuzzy Logic concepts and also you will apply this knowledge in real world applications to get you quickly for this amazing AI way, artificial intelligence also include hardware applications, not only software or code, for this reason here we will work with arduino as DAQ system.


Course is under construction, monthly will be updated.


This Course includes:

-       Understand and design of decision making Fuzzy Expert systems with examples.

-       How to design fuzzy systems.

-       How to implement fuzzy systems.


The course also gives you:

1.    Code templates: you will get downloadable Labview code to complete by yourself with my help in lectures, understanding the goal and then solving the challenge.

2.    Training support: when you are learning, there will be questions based on the lectures, I always answer the student’s doubts, but be careful, I won’t do your projects, I will teach you how to solve your own challenges, when you ask, depends on the other students question I will answer your question in +/- 72h.

3.    Solutions for real world requirements: We will solve “simple” but real world requirements in the industry and also in home, it will be nice to share with you this knowledge… we will talk about interesting applications, helping to you to open your mind and understanding from simple systems going to complex systems.

 

Course Content

  • 10 section(s)
  • 28 lecture(s)
  • Section 1 Presentation
  • Section 2 Theory section
  • Section 3 Algorithm for Fuzzy logic system design
  • Section 4 Hands-on Fuzzy-SISO design and implementation (domotics and industry)
  • Section 5 Hands-on Fuzzy decisión making (SIMO Care Robot introduction )
  • Section 6 Hands-on Fuzzy-MISO design and implementation (robotics, domotics)
  • Section 7 How to work with Arduino and Labview
  • Section 8 Washer machine with Hardware (Arduino)
  • Section 9 Fuzzy temperature controller with arduino
  • Section 10 Fuzzy Self-Adaptive PID Controllers Design (MIMO system)

What You’ll Learn

  • Solve real world problems with fuzzy intelligent systems.
  • You will be able to use Arduino as hardware for your intelligent systems with Labview.
  • Create, robotic, domotic and industrial applications with fuzzy logic.
  • You will be able to design decision making intelligent fuzzy systems.
  • You will understand how fuzzy logic works and the mathematics behind this technique.

Skills covered in this course


Reviews

  • D
    Diego Hernán Pinto Jarro
    5.0

    Bastantes conceptos bien explicados, ejemplos bien definidos y buenas prácticas de desarrollo para entender bien el funcionamiento de la lógica difusa.

  • D
    David Israel Torres Uresti
    5.0

    This course was simple and efective, the knowledge shared by the instructor is very useful and provide the idea to know how this kind o controls works. I think this course is useful if you want make the first steps in this kind of control.

  • L
    Lars Breuer
    1.0

    Sorry, but this course is poor. It has little content and the instructor gives barely explanations. No clear structure, as well (introduction to the topic fuzzy logic is the last chapter e. g.) Just setting values without explaining why and without other theoretical background. Furthermore, the slides change in language in the middle of the course (english to spanish).

  • M
    Michael West
    5.0

    I tried all the experiments with LabVIEW 2020 and Arduino UNO R3 and everything worked very well. I like that the front panels were mostly pre-built which saved a lot of time. I would recommend this class to a friend. Thank You.

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