#Fuzzy logic matlab simulink how to
#Fuzzy logic matlab simulink professional

You don't need to have any background in programming. + What are the prerequisites for this course? We will demonstrate how you can develop and efficient design plan and blueprint that you can apply to your complex problem and get successful results.

#Fuzzy logic matlab simulink how to

For example, we show you how to design and develop a fully functional Fuzzy Controller for a Fluidized Catalytic Cracking Unit also known as FCCU which is notorious for its complexity and dynamic state. There are lots of advanced topics covered as well.

#Fuzzy logic matlab simulink professional

You will learn Fuzzy Logic programming with Matlab and will be a seasoned Fuzzy Logic expert in no time.ДЄre you a professional Fuzzy Logic Programmer? This training is not only for beginners. However, we will start with gentle introduction of the Fuzzy Logic and review its mathematical properties that makes the fundamentals of this topic. This course is designed around practicality, and our main focus is on implementing real world projects. There are lot of quizzes, assignments and projects in this course and prepares you to take on complicated engineering tasks with ease. In no time, you find yourself working on real world projects and examples. This course starts with the basics of Fuzzy Logic. Just getting started in fuzzy logic and artificial intelligence?Дid you just get started with Fuzzy Logic ? That is great. Best part, we also provide you with all the source codes and simulation files so you could use and modify them for your engineering projects. This Fuzzy Logic course is considered to be the most comprehensive training ever produced on this topic and is an excellent source for everyone who are interested to learn Fuzzy Logic from scratch. Today, Fuzzy Logic is an essential part of control systems engineering, image processing, power engineering, robotics and effective optimization. Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum clearers, anti-skid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multi-objective optimization of power systems, weather forecasting systems, models for new product pricing or project risk assessment, medical diagnosis and treatment plans, and stock trading. Fuzzy Logic is a one of the key areas of Artificial Intelligence.