Information Package

Master's of Electrical and Electronics Engineering with Thesis

EEM573

MULTIVARIABLE CONTROL SYSTEMS

Course Code
EEM573
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Will be able to model multivariable control systems.
  2. Learn and apply state space design methods.
  3. Learn and apply frequency domain design methods.
  4. Will be able to implement optimal design for multivariable control systems.
  5. Gain problem solving skills for multivariable control system problems.
  6. Will be able to utilize the related software for multivariable control systems.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionMultivariable system representations: SSD, TMD, MFD, PMD. Controllability and observability. Kalman decomposition. Polynomial matrices: irreducible MFD, gcrd, gcld. Wolovich structure theorem. State feedback. State observer. Decoupling. Smith-McMillan form. Multivariable poles and zeros. Internal stability. Optimal control.
Course Contents
WEEK TOPICS
1st Week State space representation, Kalman decomposition
2nd Week SSD design, observers, decoupling
3rd Week MFD representation, realization
4th Week Design in MFD
5th Week PMD representation, Smith-McMillan format
6th Week PMD: poles/zeros, closed loop stability
7th Week Interior stability, Linear fractional transformation (LFT)
8th Week Midterm Exam
9th Week Dual coprime factorization
10th Week Alternative realizations
11th Week Optimal control, static optimal control, Dynamic optimal control
12th Week LQR design
13th Week Closed loop poles
14th Week Frequency domain equations
Recommended or Required Reading1. Uraz, A., "Linear System Theory", Lecture Notes, 2003
2. Chen, C.T. "Linear System Theory and Design", Third Ed., Oxford, 1998
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 5
Attendance 1 5
Other 1 10
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
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
LO1 LO2 LO3 LO4 LO5 LO6
K1 X
K2
K3 X X X X X
K4 X X X
K5 X
K6
K7
K8
K9
K10
K11