Electrical and Electronics Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute

Faculty of Engineering

Course Code

EE 482

Course Title in English

Introduction to State Space Control

Course Title in Turkish

Durum Uzayı Kontrol Tekniklerine Giriş

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Intermediate

Semester

Spring

Contact Hours per Week

Lecture: 3

Recitation: -

Lab: -

Other: -

Estimated Student Workload

143 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

EE 303 - Systems and Control

Co-requisites

MATH 211 - Linear Algebra

Expected Prior Knowledge

Prior knowledge in linear algebra, feedback control systems, differential and integral calculus, Laplace Transformations, system analysis, circuit analysis and MATLAB is expected.

Registration Restrictions

Undergraduate and Graduate Students

Overall Educational Objective

To learn how to analyze and design control systems using state space representations

Course Description

This course provides a comprehensive understanding of state space representations and mathematical modeling and design of control systems in state space. The following topics are covered: A brief review of linear algebra and feedback control systems, state space representation of dynamical systems, canonical forms, controllability, and observability, dynamic response from state equations, full state feedback design, estimators and observers, Lyapunov stability, introduction to optimal control, and fundamentals of discrete time control systems.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) identify, formulate, and solve the control system problems using state space techniques
2) comprehend the mathematical modeling of control systems using state space representations
3) design control systems in state space
4) design state observers for control systems
5) apply and demonstrate knowledge on control systems using modern engineering tools

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam,HW,Project
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	H	Exam,HW,Project
3)	An ability to communicate effectively with a range of audiences	N
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	N
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	S	Exam,HW,Project
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies	N

Prepared by and Date	YUSUF AYDIN , February 2021
Course Coordinator	YUSUF AYDIN
Semester	Spring
Name of Instructor

Course Contents

Week	Subject
1)	Review of Linear Algebra, MATLAB Applications
2)	Review of Feedback Control Systems, MATLAB Applications
3)	Review of Feedback Control Systems, MATLAB Applications
4)	State Space Representation of Systems, MATLAB Applications
5)	State Space Representation of Systems, MATLAB Applications
6)	Canonical Forms, Controllability, and Observability, MATLAB Applications
7)	Dynamic Response from State Equations, MATLAB Applications
8)	Control System Design by State Feedback, MATLAB Applications
9)	Estimators and Observers, MATLAB Applications
10)	Lyapunov Stability Criterion
11)	Lyapunov Stability Criterion
12)	Introduction to Optimal Control: Linear Quadratic Regulators (LQR), MATLAB Applications
13)	Optimal Estimation/Kalman Filtering and Linear Quadratic Gaussian Control (LQG), MATLAB Applications
14)	State Space Representation of Discrete Time Control Systems, MATLAB Applications
15)	Final Exam/Project/Presentation Period.
16)	Final Exam/Project/Presentation Period.

Required/Recommended Readings

1. Linear State‐Space Control Systems, R. L. Williams II, D. A. Lawrence, John Wiley & Sons, 2007 2. Control System Design, An Introduction to State Space Methods, B. Friedland, Mc Graw Hill 1986 3. Modern Control Engineering, K.Ogata, Prentice Hall, 5th edition, 2010, ISBN 0-13-043245-8 4. Modern Control Systems, R.C.Dorf and R. H. Bishop, Pearson Education, Printice Hall Global Edition, 13th edition, 2017

Teaching Methods

Contact hours using “Flipped Classroom” as an active learning technique

Homework and Projects

There will be homework and quizzes containing questions related to lecture content. There will be projects to apply the knowledge gained from the lectures to real life control problems.

Laboratory Work

Computer Use

Students will use MATLAB in the lecture, project, and homework assignments.

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Attendance	14	% 10
Application	14	% 10
Quiz(zes)	6	% 20
Homework Assignments	6	% 10
Project	3	% 20
Midterm(s)	2	% 30
TOTAL		% 100

Course Administration

aydiny@mef.edu.tr

Rules for attendance: - Missing a quiz: No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, the grade of the second exam will be given as the grade of the first exam. If the second exam is missed, provided that proper documents of excuse are presented, a make-up exam will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Disciplinary Regulation Academic Dishonesty and Plagiarism: YÖK Disciplinary Regulation

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	0.5	3		49
Project	3	0	10		30
Homework Assignments	6	0	3		18
Quiz(zes)	6	2	0.5		15
Midterm(s)	2	15	2		34
Total Workload					146
Total Workload/25					5.8
ECTS					6