EE678 Soft Computing Control

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

Information

Code EE678
Name Soft Computing Control
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. İLYAS EKER


Course Goal

To give information about besic features of adaptive control systems

Course Content

Theoretical information about Adaptive on line identification and control

Course Precondition

none

Resources

An Introduction to Fuzzy and Neurofuzzy Systems

Notes

An Introduction to Neural Networks


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Student identifies hard and soft computing systems.
LO02 Describes operating principles of soft computing systems.
LO03 Analyses of control systems.
LO04 Designin soft computing controllers


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of Electrical and Electronics Engineering by increasing the level of knowledge beyond the master's level 5
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization. 4
PLO03 Bilgi - Kuramsal, Olgusal Having knowledge of the current scientific literature in the field of specialization to analyze the literature critically 3
PLO04 Bilgi - Kuramsal, Olgusal To comprehend the interdisciplinary interaction of the field with other related branches, to suggest similar interactions. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research 2
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. 2
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. 3
PLO09 Bilgi - Kuramsal, Olgusal Having a command of English and related English jargon at a level that can easily read and understand a scientific text written in English in the field of specialization and write a similar text 3
PLO10 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise.
PLO11 Bilgi - Kuramsal, Olgusal Ability to plan and teach lessons related to the field of specialization or related fields
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field 2
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate with people in an appropriate language
PLO14 Yetkinlikler - Öğrenme Yetkinliği Adopting the ethical values required by both education and research aspects of academician
PLO15 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience 3


Week Plan

Week Topic Preparation Methods
1 Introduction and classification of control computing systems Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Introduction to soft computing systems Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Introduction to hard computing systems Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Bulanık mantık kontrol metoduna giriş Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Features of fuzzy logic Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Input and output of fuzzy logic control Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Algorithms of fuzzy logic control Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Parameters of fuzzy logic control algorithm. Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 properties of controller inputs and outputs. Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Constraints of fuzzy logic control Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Closed-loop stability Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Control convergence Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Other soft computing methods: Neural Network Control, Particle Swarm Optimization, Genetic Alorithm, etc, Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Control guidelines of soft computing methods Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams 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