Information Package / Course Catalogue
Analysis and Design of Modern Control Systems
Course Code: EEE521
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

This course aims to present the basic concepts of modern control systems, and analysis and design of state variable feedback control systems.

Course Content

State-space representation of control systems, solving state equations, eigenvalues and eigenvectors, controllability, observability, state space representation of discrete-time systems, solving state-space equations of discrete-time systems, design of control systems.

Name of Lecturer(s)
Assoc. Prof. Münevver Mine ÖZYETKİN
Learning Outcomes
1.To learn state space models of control systems
2.To learn state equations, eigenvalue and eigenvector concepts
3.Solving state space equations
4.To learn the analysis and design of modern control systems using Matlab
5.To gain analysis and design skills for control systems
Recommended or Required Reading
1.Modern Control Engineering, Katsuhiko Ogata, Prentice Hall.
2.Modern Control Systems, Richard C. Dorf, Robert H. Bishop, Prentice Hall.
3.Control System Engineering, Norman S. Nise, Wiley.
Weekly Detailed Course Contents
Week 1 - Theoretical
State space representation of transfer function systems
Week 2 - Theoretical
State variables, state equations
Week 3 - Theoretical
Eigenvalues, Eigenvectors
Week 4 - Theoretical
Solving the time invariant state equations
Week 5 - Theoretical
Vector-Matrix analysis
Week 6 - Theoretical
Controllability, Observability
Week 7 - Theoretical
Stability
Week 8 - Theoretical
State space representation of discrete-time systems - Midterm Exam
Week 9 - Theoretical
State space representation of discrete-time systems
Week 10 - Theoretical
Solving state-space equations of discrete-time systems
Week 11 - Theoretical
Controllability and observability of discrete-time systems
Week 12 - Theoretical
Stability of discrete-time systems
Week 13 - Theoretical
Case studies
Week 14 - Theoretical
Case studies
Assessment Methods and Criteria
Type of AssessmentCountPercent
Final Examination1%60
Assignment4%40
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1473140
Assignment48344
Final Examination113316
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
5
5
4
5
5
3
4
OÇ-2
5
4
4
5
5
3
4
OÇ-3
5
5
4
4
5
3
4
OÇ-4
5
4
4
5
5
3
4
OÇ-5
5
4
4
5
5
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026