ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
ME461 Systems and Control II
Istanbul Okan University
Degree Programs
Food Engineering (English)
General Information For Students
Diploma SupplementErasmus Policy Statement
National Qualifications
Food Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: ME461
Course Name: Systems and Control II
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi ALPER TEZCAN
Course Lecturer(s): Dr. İSMAİL BAYEZİT
Course Assistants:

Course Objective and Content

Course Objectives: The objective of this course is to cover linear algebra review, state-space modeling, controllability, observability, minimal realizations, stability, design using linear state feedback control laws, observers, introduction to optimal control.
Course Content: • Introduction of the course.
• Vector spaces
• Basis and orthogonality
• Transformations
• Range and null space
• Eigenvalues and eigenvectors
• Norms of vectors and matrices
• State equation solution
• Impulse response
• Laplace domain representation
• Coordinate transformation
• Engineering system examples
• Controllability examples
• Coordinate transformations and controllability
• Engineering system examples
• Observability examples
• Coordinate transformations and observability
• Engineering system examples
• Minimality of single-single output realizations
• Internal stability
• Bounded-input, bounded-output stability
• Asymptotic stability
• Engineering system examples
• Midterm Exam
• State feedback control law
• Shaping the dynamic response
• Closed-loop eigenvalue placement via state feedback
• Engineering system examples
• Steady state tracking
• Application of design using linear state feedback control laws to engineering system examples
• Observers
• Observer-based compensators
• Application of observers to engineering system examples
• Optimal control problems
• The linear quadratic regulator
• Apply linear quadratic regulator to detailed engineering system
• Final Exam

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Frekans domenindeki yöntemleri kullanarak kontrol sistemlerini tasarlayabilecektir.
2 - Skills
Cognitive - Practical
1) Will be able to model and describe engineering systems mathematically using state-space.
2) Will be able to simulate engineering systems using MATLAB/Simulink.
3) Will be able to design control systems using state-space techniques.
4) Will be able to determine stability of systems.
5) Will be able to design control systems using optimal control techniques.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction of the course. none
2) • Vector spaces • Basis and orthogonality • Transformations none
3) • Range and null space • Eigenvalues and eigenvectors • Norms of vectors and matrices none
4) • State equation solution • Impulse response • Laplace domain representation • Coordinate transformation • Engineering system examples none
5) • Controllability examples • Coordinate transformations and controllability • Engineering system examples none
6) • Observability examples • Coordinate transformations and observability • Engineering system examples none
7) • Minimality of single-single output realizations none
8) • Internal stability • Bounded-input, bounded-output stability • Asymptotic stability • Engineering system examples none
9) Midterm none
10) • State feedback control law • Shaping the dynamic response • Closed-loop eigenvalue placement via state feedback • Engineering system examples none
11) • Steady state tracking • Application of design using linear state feedback control laws to engineering system examples none
12) • Internal stability • Bounded-input, bounded-output stability • Asymptotic stability • Engineering system examples none
13) • Optimal control problems • The linear quadratic regulator none
14) • Apply linear quadratic regulator to detailed engineering system none

Sources

Course Notes / Textbooks: Linear State-Space Control Systems Hardcover – February 9, 2007
by Robert L. Williams II (Author), Douglas A. Lawrence (Author)
References: Benjamin C. Kuo, Farid Golnaraghi, Automatic Control Systems, 9E John Wiley High Education, 2009.

Ogata,K. Modern Control Engineering, 5th Edition, International Edition, Pearson, 2013.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6
Program Outcomes
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Learning Activity and Teaching Methods

Field Study
Lesson
Reading
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Study Hours Out of Class 15 6 90
Midterms 1 7 7
Final 1 8 8
Total Workload 150