Information Package

Ph.D. on Electrical and Electronics Engineering

EEM677

ADAPTIVE CONTROL

Course Code
EEM677
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

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
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionSystem models. Parameter estimation. Model reference adaptive control: MIT and SPR rules. Self-tuning control: auto-tuning, gain scheduling. Stability, convergence and robustness.
Course Contents
WEEK TOPICS
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.
Recommended 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 Methods
  • Lecture
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Quiz 1 10
Project 1 15
Attendance 1 5
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz 0 0 0
Individual or group work 14 8 112
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 30 30
Laboratory (including preparation) 0 0 0
Final exam 1 3 3
Homework 2 35 70
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
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