Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
1 | EEE555 | ADAPTIVE CONTROL STRATEGIES | 3+0+0 | 3 | 6 |
Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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ELECTRICAL AND ELECTRONICS ENGINEERING
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Mode of Delivery
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Face to Face
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Type of Course Unit
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Elective
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Objectives of the Course
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The aim of the course is to provide postgradute students with the knowledge and skills of adaptive control systems, model reference adaptive control, self-tuning control, and their practical applications.
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Course Content
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Introduction to the course Introduction to Adaptive Control Gain Scheduling Control MRAC Fundamentals MRAC Design with MIT Rule MRAC Design with Lyapunov Theory An Overview of System Identification Identification for STC STC Methods 1 STC Methods 2 Dual Control Practical Issues in Adaptive Control Concluding remarks
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Course Methods and Techniques
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Lectures and HW assignments
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Associate Prof.Dr. TOLGAY KARA
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
Resources
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|
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Provided at the lectures.
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Course Category
Engineering
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%60
|
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Engineering Design
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%40
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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
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Mid-terms
|
2
|
%
50
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Final examination
|
1
|
%
50
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Total
|
3
|
%
100
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ECTS Allocated Based on Student Workload
Activities
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Total Work Load
|
Course Duration
|
14
|
3
|
42
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Hours for off-the-c.r.stud
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14
|
5
|
70
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Assignments
|
4
|
8
|
32
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Mid-terms
|
2
|
8
|
16
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Final examination
|
1
|
10
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10
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Total Work Load
| |
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Number of ECTS Credits 6
170
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
No | Learning 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 able to analyse and design Gain Scheduling Control systems |
4
| 4) Be aware of basic principles of system identification. |
5
| 5) Be able to analyse and design MRAC systems |
6
| 6) Be able to analyse and design Self-Tuning Control systems |
Weekly Detailed Course Contents
Week | Topics | Study Materials | Materials |
1 |
Introduction to the course
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2 |
Introduction to Adaptive Control
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3 |
Gain Scheduling Control
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4 |
MRAC Fundamentals
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5 |
MRAC Design with MIT Rule
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6 |
MRAC Design with Lyapunov Theory
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7 |
An Overview of System Identification
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8 |
Identification for STC
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9 |
STC Methods 1
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10 |
STC Methods 2
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11 |
Dual Control
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12 |
Practical Issues in Adaptive Control 1
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13 |
Practical Issues in Adaptive Control 2
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14 |
Concluding Remarks
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Contribution of Learning Outcomes to Programme Outcomes
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https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=147917&lang=en