Control Engineering I (MECE521) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering I MECE521 3 0 0 3 5
Pre-requisite Course(s)
MECE306
Course Language English
Course Type N/A
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Experiment, Question and Answer, Observation Case Study, Problem Solving, Team/Group, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To equip students the ability of analyzing the systems in state space. Necessary tools for the stability analysis of linear and nonlinear systems will be given also.
Course Learning Outcomes The students who succeeded in this course;
  • To learn fundamentals of linear system analysis in state space,
  • To understand fundamentals for stability analysis of linear and nonlinear systems,
  • To work analysis of nonlinear systems.
Course Content State space analysis of systems, state feedback, observers, Lyapunov stability theory, phase portraits, and the describing function analysis.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 State space analysis N/A
2 State space analysis N/A
3 Controllability, observability, stabilizability, detectability N/A
4 State feedback N/A
5 Pole placement N/A
6 Observers N/A
7 PHB tests N/A
8 Stability N/A
9 Stability N/A
10 Lyapunov stability theory N/A
11 Lyapunov stability theory N/A
12 Phase portraits N/A
13 Describing function analysis N/A
14 Describing function analysis N/A
15 Problem Session N/A
16 General Examination N/A

Sources

Course Book 1. Modern Control Design with Matlab and Simulink, A. Tewari, ISBN: 0-471-496790, Wiley, 2002.
Other Sources 2. Ogata, K., Modern Control Engineering, 5th Ed., Prentice-Hall, 2002.
3. Franklin, G. F., Powell, J. D., Emami-Naeini, A., Feedback Control of Dynamic Systems, 4th Ed., Prentice-Hall, 2002.
4. Kuo, B. C. and Golnaraghi, F., Automatic Control Systems, 8th Ed., John Wiley and Sons, Inc., 2003.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 4 40
Final Exam/Final Jury 1 25
Toplam 11 100
Percentage of Semester Work 75
Percentage of Final Work 25
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 5 70
Presentation/Seminar Prepration
Project 1 25 25
Report
Homework Assignments 5 6 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 4 10 40
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 225