LINEAR SYSTEM THEORY

MAK511

Course Code: MAK511
Semester: -
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Assistant Professor Andaç Töre Şamiloğlu

Learning Outcomes

At the end of this course, the students;

An ability to apply knowledge of mathematics, science, and engineering.
An ability to design and conduct experiments, as well as to analyze and interpret data.
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
An ability to identify, formulate, and solve engineering problems.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Introduction to modern control theory, Description of a system at state space, State space and state space form of equations, Coordinate transformation , Eigenvalues and eigenvectors, Canonical forms and indepented systems, Time response of system, State transient matrices and Laplace transform methods, Controlability and observable, Lyapunov stability Analysis, State space controller design, Pole placement method, Ackermann Formula, State space observer design, Servo system design, Quadratic optimal control systems, Design samples.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to modern control theory
2^nd Week	Description of a system at state space
3^rd Week	State space and state space form of equations, coordinate transformation
4^th Week	Eigenvalues and ve eigenvectors
5^th Week	Canonical forms and indepented systems
6^th Week	Time response of systemS
7^th Week	State transient matrices and Laplace transform methods
8^th Week	MİD TERM
9^th Week	Controlability and observable, Lyapunov stability Analysis
10^th Week	State space controller design, Pole placement method
11^th Week	Ackermann Formula, State space observer design
12^th Week	Servo system design
13^th Week	Quadratic optimal control systems
14^th Week	Design samples

Recommended or Required Reading

Linear system theory and design, Cho Tsong-Chen, Oxford Universty press

Planned Learning Activities and Teaching Methods

Practice
Lecture
Project

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	35
Assignment	4	10
Quiz	2	5
Attendance	1	5
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	2	2
Preparation for Quiz	2	8	16
Individual or group work	14	5	70
Preparation for Final exam	1	50	50
Course hours	14	3	42
Preparation for Midterm exam	1	30	30
Laboratory (including preparation)
Final exam	1	2	2
Homework	4	20	80
Quiz	2	0.5	1
Total Work Load			293
Total Work Load / 30 (h)			9.76
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1	X
K2		X
K3			X
K4
K5				X
K6
K7
K8
K9
K10
K11					X