Intelligent Control for mechanical Systems

  • Mechanical Engineering |

Description

Artificial intelligence and knowledge representation techniques. introduction to fuzzy sets. Basic operations on fuzzy sets. Variable domains. Linguistic rules. Defuzzification process. Fuzzy controller: preliminaries & basic construction. The Approach of Mamdani. The approach of Takagi and Sugeno Design parameters of fuzzy controllers - Principles of neural networks - Learning methods - Neural networks for control and modeling - Neuro fuzzy control systems - application studies on mechanical systems.

Program

M.Sc. in Mechanical Engineering

Objectives

  • The student should be able to:rn Construct the intelligent systemrn Learning methodsrn Apply the artificial intelligent in control different mechanical systemsrn

Textbook

Data will be available soon!

Course Content

content serial Description
1Introduction to artificial intelligence systems
2Introduction to fuzzy logic fuzzy sets.
3Fuzzy relation properties, Membership s determination
4Defuzzification process. Fuzzy controller: preliminaries & basic construction.
5The Approach of Mamdani. The approach of Takagi and Sugeno
6Design parameters of fuzzy controllers
7Case study using fuzzy logic control
8Case study using fuzzy logic control
9Principles of neural networks
10Learning methods
11Neural networks for control and modeling
12Neuro -fuzzy control systems ANFIS
13Case study using ANN
14Case study using ANN
15Case study using ANFIS
16Final Examination

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.

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