Control Engineering I (MECE521) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Control Engineering I MECE521 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
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 Demonstrates the ability to conduct advanced research activities both individually and as a team member.
2 Gains the competence to examine, evaluate, and interpret research topics through scientific reasoning.
3 Develops new methods and applies them to original research areas and topics.
4 Systematically acquires experimental and/or analytical data, discusses and evaluates them to reach scientific conclusions.
5 Applies the scientific philosophical approach in the analysis, modeling, and design of engineering systems.
6 Synthesizes knowledge in their field to create, maintain, complete, and present original studies at an international level.
7 Contributes to scientific and technological advancements in their engineering field.
8 Contributes to industrial and scientific progress to improve 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