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Course Details
KTO KARATAY UNIVERSITY
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