Electrical and Computer Engineering Graduate With Thesis
Course Details

KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details

| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 80511106 | Linear System Theory | 2023 | Autumn | 1 | 3+0+0 | 7,5 | 7,5 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. İbrahim ONARAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. İbrahim ONARAN | A-125 | [email protected] | 7678 | Tuesday 15:30-16:30 |
Course Content
Introduction and the definition of the state space, the relation between the transfer function and the state space. Revisiting the matrix algebra, linear vector spaces, linear transformations, eigenvalues and the eigenvectors topics from linear algebra. The solution of the state equations, the relationship between the state space and the transfer function. Investigation on the controllability-stabilizability and the observability-detectability concepts. Controller design using state and output feedback, observer design.
Objectives of the Course
For Linear dynamical system understanding the state space description. In terms of mathematical background, understanding the basics of the matrix algebra, linear vector spaces and the linear transformations. Using this background, developing the relation between the state space and the transfer functions of a system, understanding the controllability-stabilizability, observability-detectability concepts. Gaining competency on the controller design using the state-feedback, the output feedback and the observer design.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Ability to transfer the domain knowledge in written and verbal form | 5 |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction |
| 2 | Definition of the concept of "system", state space and transfer functions, obtaining the state space representation from the transfer function of a system |
| 3 | The concept pf "vectors", vector spaces: the definition of vector spaces and the subspaces, linear combinations. |
| 4 | Vector spaces: Linear span and linear independency concepts, the concepts of basis and the dimension in vector spaces. |
| 5 | Matrices and Determinants: Matrices, the systems of equations of the form Ax=0 and Ax=B, the rank concept |
| 6 | Matrices and Determinants: Determinants, the relationship between the rank, the linear independency and the determinant |
| 7 | Eigenvalues and eigenvectors: The meaning and the computation of the eigenvalues and the eigenvectors, the concepts of algebraic and the geometric multiplicity |
| 8 | Eigenvalues and eigenvectors: The similarity transformations and the diagonalization |
| 9 | Solution of the state equations: The state equation solutions of the homogenous time-invariant and time-varying systems, definition and the computation of state transition matrix for both cases |
| 10 | Solution of the state equations: The state equation solutions of the homogenous time-invariant and time-varying systems, definition and the computation of state transition matrix for both cases |
| 11 | Stability: Lyapunov stability, the direct method of Lyapunov, external stability: Bounded Input Bounded Output (BIBO) stability. |
| 12 | The concepts of the controllability-stabilizability |
| 13 | The concepts of the observability-detectability |
| 14 | State feedback and the observer design |
Textbook or Material
| Resources | Thomas S. Shores, Applied Linear Algebra and Matrix Analysis (1st edition), 2007, Springer, New York. |
| Thomas S. Shores, Applied Linear Algebra and Matrix Analysis (1st edition), 2007, Springer, New York. |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 45 | 45 |
| Other | 1 | 55 | 55 |
| Total Work Load: | 100 | ||
| Total Work Load / 30 | 3,33 | ||
| Course ECTS Credits: | 3 | ||
