ELECTRICAL-ELECTRONICS ENGINEERING (MASTER) (WITH THESIS) (ENGLISH)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Master's ( Second Cycle) Degree	2	120	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 7 QF-EHEA:Second Cycle TR-NQF-HE, ISCED (1997-2013): 52

Ders Genel Tanıtım Bilgileri

Course Code:

3026002018

Ders İsmi:

Robust and Optimal Control

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	0	0	3	6

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. Çağatay ULUIŞIK

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	To learn the theory and practice of robust control systems. To represent the effects of disturbance and uncertainty on system performance and stability. To design a controller that ensures performance constraints such as H2 and Hinf norm.
Course Content:	Fundamental concept of robustness and the relationship between mathematical models, Mathematical preliminaries on norms for vectors, matrices, signals and systems, Performance measurement via induced norms, Robust stability and performance problems, Computer-aided analysis techniques, Optimal Controller design. Hinf optimal control problems, Design case studies.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Students show a deep knowledge of terminology for robust control.
2 - Skills
Cognitive - Practical
1) Students use standard methods for designing and analyzing robust controllers.
2) Students demonstrate an ability to formulate performance requirements for control systems and determine what performance is achievable.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction to robust control	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
2)	Preliminaries in finite dimensional space.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
3)	Review of state space system theory.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
4)	The concept of norms	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
5)	Limitations on performance in SISO systems.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
6)	SISO sistemler için belirsizlikler	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
7)	Robust stability and performance analysis.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
8)	Midterm exam
9)	Controller Design.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
10)	Frequency domain approaches to robust control.	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
11)	Optimization and control	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
12)	H2 and H inf. control	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
13)	Mu Synthesis	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
14)	Case study: Helicopter control	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
15)	Final exam

Sources

Course Notes / Textbooks:	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.
References:	Optimal and Robust Control: Advanced Topics with MATLAB®, 2nd Edition,Luigi Fortuna, Mattia Frasca, Arturo Buscarino, CRC Press, 2024. A Course in Robust Control Theory, Dullerud ve Paganini, Springer 2000. Feedback Control Theory, Doyle, Francis, Tannenbaum, Macmillan, 1992. Robust and Optimal Control, Zhou, Doyle, Glover, Prentice Hall, 1995.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes
1) Through scientific research in the field of Electrical-Electronics Engineering, they expand and deepen their knowledge, evaluate, interpret, and apply the information.
2) They have comprehensive knowledge of the current techniques and methods applied in Electrical-Electronics Engineering, as well as their limitations.
3) Using uncertain, limited, or incomplete data, they complement and apply knowledge through scientific methods; they can integrate information from different disciplines.
4) They are aware of new and emerging applications in Electrical-Electronics Engineering, and when necessary, they investigate and learn about them.
5) They define and formulate Electrical-Electronics Engineering problems, develop methods to solve them, and apply innovative approaches in the solutions.
6) They develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in their designs.
7) They design and apply theoretical, experimental, and modeling-based research; they analyze and solve complex problems encountered during this process.
8) They can work effectively in both interdisciplinary and multidisciplinary teams, lead such teams, and develop solution approaches in complex situations; they can work independently and take responsibility.
9) They communicate effectively in both spoken and written forms using a foreign language at least at the B2 General Level of the European Language Portfolio.
10) They communicate the processes and results of their work in a systematic and clear manner, either in writing or verbally, in national and international contexts, both within and outside their field.
11) They are aware of the social, environmental, health, safety and legal aspects of Electrical and Electronics Engineering applications, project management and business life practices and are aware of the constraints these impose on engineering applications.
12) They observe social, scientific and ethical values in the stages of collecting, interpreting and announcing the data and in all professional activities.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Through scientific research in the field of Electrical-Electronics Engineering, they expand and deepen their knowledge, evaluate, interpret, and apply the information.
2)	They have comprehensive knowledge of the current techniques and methods applied in Electrical-Electronics Engineering, as well as their limitations.
3)	Using uncertain, limited, or incomplete data, they complement and apply knowledge through scientific methods; they can integrate information from different disciplines.
4)	They are aware of new and emerging applications in Electrical-Electronics Engineering, and when necessary, they investigate and learn about them.
5)	They define and formulate Electrical-Electronics Engineering problems, develop methods to solve them, and apply innovative approaches in the solutions.
6)	They develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in their designs.
7)	They design and apply theoretical, experimental, and modeling-based research; they analyze and solve complex problems encountered during this process.
8)	They can work effectively in both interdisciplinary and multidisciplinary teams, lead such teams, and develop solution approaches in complex situations; they can work independently and take responsibility.
9)	They communicate effectively in both spoken and written forms using a foreign language at least at the B2 General Level of the European Language Portfolio.
10)	They communicate the processes and results of their work in a systematic and clear manner, either in writing or verbally, in national and international contexts, both within and outside their field.
11)	They are aware of the social, environmental, health, safety and legal aspects of Electrical and Electronics Engineering applications, project management and business life practices and are aware of the constraints these impose on engineering applications.
12)	They observe social, scientific and ethical values in the stages of collecting, interpreting and announcing the data and in all professional activities.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Alan Çalışması
Bireysel çalışma ve ödevi
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	6	84
Homework Assignments	4	15	60
Midterms	1	2	2
Final	1	2	2
Total Workload			190