Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1EEE551SELF-TUNING SYSTEMS3+0+03624.07.2024

 
Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program ELECTRICAL AND ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The main objective of the course is to equip students with the fundamental knowledge and skills required to understand, formulize, analyze and design self-tuning systems. The students are expected to understand general principles of adaptive control, self-tuning control as an adaptive control methodology, parametric system identification techniques, and the most common control methods used in self-tuning systems.
Course Content Introduction to the course, Introduction to Self-tuning Systems, An Overview of System Identification, Parameter Estimation, Self-tuning Controllers, Pole placement control, Minimum variance control, Predictive control, Alternatives to Self Tuning.
Course Methods and Techniques Lectures and HW's
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Associate Prof.Dr. TOLGAY KARA
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes Provided during lectures.

Course Category
Engineering %60
Engineering Design %40

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Quizzes 2 % 50
Assignment 4 % 10
Final examination 1 % 40
Total
7
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Assignments 4 8 32
Mid-terms 2 10 20
Final examination 1 8 8
Total Work Load   Number of ECTS Credits 6 172

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 1) Be able to recognize and classify adaptive control systems.
2 2) Be aware of adaptive control principles and main features.
3 3) Be aware of basic principles of system identification.
4 4) Be able to apply parameter estimation method in system identification.
5 5) Learn methods of self-tuning control
6 6) Be able to design and simulate self-tuning control

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to the course
2 Introduction to Self-tuning Systems
3 An Overview of System Identification
4 Parameter Estimation
5 Self-tuning Controllers, Homework assignment 1
6 Pole placement control
7 Minimum variance control
8 Predictive control
9 Midterm Exam
10 Alternatives to Self Tuning, Homework assignment 2
11 Project assignment
12 Examples, demonstrations
13 Concluding remarks

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4
All 5 5 3
C1
C2
C3
C4
C5 3
C6 5

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=147949&lang=en