Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh)

Course Information

CONTROL THEORY
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
EEE308 Spring 2 2 3 5

Prerequisites and co-requisites
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Prof. Dr. C . Cengiz ARCASOY
Mode of Delivery Face to Face
Suggested Subject
Professional practise ( internship ) None
Objectives of the Course The aim of the course is to transfer the basic knowledge required for analysis and design of real-time systems to the students.
Contents of the Course State Space Formulation, vector spaces, matrix functions, Time of solutions, system stability, observability, controllability, state equations and transfer functions, feedback, feedback stabilizers, Pole placement, observer design, system determination, optimal control.

Learning Outcomes of Course

# Learning Outcomes
1 They can model the system.
2 They can do matrix operations.
3 They identify the concept of time zone.
4 Identifies the concept of frequency domain.
5 They know the design of the observer.
6 They can design controllers.
7 They can analyze real systems.
8 They can control real systems.

Course Syllabus

# Subjects Teaching Methods and Technics
1 State Space Formulation lecture
2 Vector spaces lecture
3 Matrix functions lecture
4 Time domain solutions lecture
5 System stability lecture
6 Observability lecture
7 Midterm
8 Controllability lecture
9 State equations lecture
10 Transfer function lecture
11 Feed back lecture
12 Feedback balancers lecture
13 Observer design lecture
14 System identification lecture
15 Optimal control lecture
16 Final Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 Roland Burns, Advanced Control Engineering, Butterworth-Heinemann; ( 2001).
2 Bernard Friedland, Advanced Control System Design, Prentice-Hall, Inc.; 1st edition (1996)

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 They can model the system. 1 1͵2
2 They can do matrix operations. 3 1͵2
3 They identify the concept of time zone. 12 1͵2
4 Identifies the concept of frequency domain. 10 1͵2
5 They know the design of the observer. 1 1͵2
6 They can design controllers. 12 1͵2
7 They can analyze real systems. 3 1͵2
8 They can control real systems. 10 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 4 56
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 4 56
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 0 0 0
8 Midterm Exam 0 0 0
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 0 0 0
16 Final Exam 1 6 6
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