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College of Engineering & Technology  Alexandria
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Artificial Intelligence Applications in Automatic Control

  • Electrical & Control Engineering |

Description

Introduction to fuzzy logic fuzzy sets - Fuzzy relation properties and composition of fuzzy relations - Membership functions determination - 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 (160)

Objectives

  • The student should be able to learn and apply basic Artificial Intelligent Controllers such as Fuzzy and Neural Network-based types for the analysis and design of discrete-data control loops.

Textbook

R E F E R E N C E S •Hung T. Nguyen et al., “A First Course in FUZZY and NEURAL CONTROL”, CHAPMAN & HALL/CRC, 2003 / latest edition. •Timothy J. Ross, “Fuzzy Logic with Engineering Applications”, John Wiley & Sons Press, 2004. •John Harris, “An Introduction to Fuzzy Logic Applications”, Springer, 2012. •Omid Omidvar et al., “Neural Systems for Control”, Academic Press, 1997.

Course Content

content serial Description

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: EEE5105
  • Credit hrs: 3
  • Prequisites: EEE4102
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