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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ADAPTIVE CONTROL EEM577 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Gain an ability to solve problems.
2) Know the Adaptation theory and use them.
3) Know and apply basic adaptation structures.
4) Gain an ability to calculate stability and convergence analysis.
5) Know and improve real time parameter estimation applications.
6) Know and use the structures of Adaptive Filters (LMS, RLS, Kalman).
7) Experience the theoretical knowledge with simulations.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONSystem models. Parameter estimation. Model reference adaptive control: MIT and SPR rules. Self-tuning control: auto-tuning, gain scheduling. Stability, convergence and robustness.
COURSE CONTENTS
WEEKTOPICS
1st Week System models.
2nd Week System models.
3rd Week Parameter estimation.
4th Week Parameter estimation.
5th Week Model reference adaptive control: MIT and SPR rules.
6th Week Model reference adaptive control: MIT and SPR rules.
7th Week Model reference adaptive control: MIT and SPR rules.
8th Week Midterm Exam
9th Week Self-tuning control: auto-tuning, gain scheduling.
10th Week Self-tuning control: auto-tuning, gain scheduling.
11th Week Stability.
12th Week Stability.
13th Week Convergence.
14th Week Robustness.
RECOMENDED OR REQUIRED READING1. Adaptive Control, K.J. Aström, B. Wittenmark, Addison Wesley, 1995.
2. Robust Adaptive Control, P.A. Ioannou, J. Sun, Prentice Hall, 1996.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Quiz210
Project115
Attendance15
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam133
Preparation for Quiz000
Individual or group work148112
Preparation for Final exam14040
Course hours14342
Preparation for Midterm exam13030
Laboratory (including preparation)000
Final exam133
Homework23570
Total Workload300
Total Workload / 3010
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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