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Information
| Code | CENG556 |
| Name | Intelligent Control Systems |
| Term | 2023-2024 Academic Year |
| Semester | . Semester |
| 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 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. | |
| 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 | ||