Artificial Intelligence Applications in Automatic Control

Description

Introduction to fuzzy logic and fuzzy sets - Fuzzy relation properties and composition of fuzzy relations - Membership functions determination - Fuzzification, rule bases, Defuzzification - Fuzzy controller: preliminaries & basic construction - Design aspects of fuzzy controller - Choosing fuzzy controller inputs and outputs - Construction of rule bases for control - Introduction to Neural Networks - Neural Networks Types - Training of Neural Networks - Neural Networks Controllers - PID-like controllers and tuning them - Programming and Implementation of AI Controllers - Case Study / Applications.

Program

Bachelor Degree in Electrical and Control Engineering (144)

Objectives

• Introduction to fuzzy logic and fuzzy sets - Fuzzy relation properties and composition of fuzzy relations - Membership functions determination - Fuzzification, rule bases, Defuzzification - Fuzzy controller: preliminaries & basic construction - Design aspects of fuzzy controller - Choosing fuzzy controller inputs and outputs - Construction of rule bases for control - Introduction to Neural Networks - Neural Networks Types - Training of Neural Networks - Neural Networks Controllers - PID-like controllers and tuning them - Programming and Implementation of AI Controllers - Case Study / Applications.