CENG556 Intelligent Control Systems

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG556
Name Intelligent Control Systems
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RAMAZAN ÇOBAN
Course Instructor
1


Course Goal / Objective

To teach all the students to design the intelligent control systems in continous time and to design intelligent control systems according to the predetermined performance specifications.

Course Content

Zeki control sistemlerine giriş. Bulanık control. Yapay sinir ağları ile control. Kontrol sistemleri tasarımında evrimsel hesaplama yöntemleri. Melez sistemler; yapay sinir ağı bulanık kontrolörler, genetik bulanık kontrolörler.

Course Precondition

unavailable

Resources

Intelligent Control Systems: An Introduction with Examples by Katalin M. Hangos, Rozália Lakner, Miklós Gerzson KLUWER ACADEMIC PUBLISHERS

Notes

Intelligent Control Systems: An Introduction with Examples by Katalin M. Hangos, Rozália Lakner, Miklós Gerzson KLUWER ACADEMIC PUBLISHERS


Course Learning Outcomes

Order Course Learning Outcomes
LO01 understand Fuzy logic control
LO02 learn Neural networks control
LO03 understand Evolutionary computation in control system design
LO04 understand Hybrid systems


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 4
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 5
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 5
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 3
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 5
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 2
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 1
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 4
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 4
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 1
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities. 4


Week Plan

Week Topic Preparation Methods
1 Introduction to intelligent control systems Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
2 intelligent control systems Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
3 Introduction to Fuzy logic control Reading related chapter in lecture notes Öğretim Yöntemleri:
Soru-Cevap
4 Fuzy logic control Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
5 Introduction to Neural networks control Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
6 Neural networks control Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
7 Introduction to Evolutionary computation in control system design Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Study to lecture notes and applications Ölçme Yöntemleri:
Yazılı Sınav
9 Evolutionary computation in control system design Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
10 Introduction to Hybrid systems Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
11 Hybrid systems Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
12 Introduction to Neural fuzzy controllers Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
13 Neural fuzzy controllers Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
14 Introduction to Genetic fuzzy controllers Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
15 Genetic fuzzy controllers Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Study to lecture notes and applications Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Study to lecture notes and applications Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 18.11.2022 03:58