MMÜ648 - ROBUST CONTROL

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
ROBUST CONTROL MMÜ648 Any Semester/Year 3 0 3 8
PrequisitesMMÜ324.
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Team/Group Work
Preparing and/or Presenting Reports
Problem Solving
Brain Storming
Project Design/Management
 
Instructor (s)Departmental Faculty 
Course objectiveUsing robust control tools to analyze complex systems and design controllers. 
Learning outcomes
  1. At the end of this lecture, this student will be able to:
  2. Display his knowledge on H2 ve H00 spaces, Display his knowledge on internal stability,
  3. Define performance specifications and design limitations, Reduce system order with balanced order reduction techniques,
  4. Display his knowledge on robustness and uncertainty, Calculate Linear Fractional Transformations,
  5. Display his knowledge on the µ norm concept and perform µ - synthesis, Build algebraic Ricatti Equations,
  6. Design H2 controllers, Design Hoo controllers, Reduce controller order.
Course ContentLinear Algebra Review,
Linear Systems,
H 2 & H00 Spaces,
Internal Stability,
Performance Specifications and Limitations,
Balanced Model Reduction,
Uncertainty & Robustness,
Linear Fractional Transformation,
µ and µ - Synthesis,
Controller parameterization,
Algebraic Riccati equations,
H2 Optimal Control,
Hoo Control,
Controller order Reduction. 
ReferencesEssentials Of Robust Control Kemin Zhou, Louisiana State University
John C. Doyle, California Institute of Technology
Published September, 1997 by Prentice Hall
Copyright 1998. 

Course outline weekly

WeeksTopics
Week 1Review of Linear Algebra Concepts
Week 2Review of Linear Algebra Concepts (cont)
Week 3Properties of Linear Systems
Week 4H2 ve Hoo spaces
Week 5Internal Stability
Week 6Internal Stability (cont)
Week 7Performance specifications and design limitations
Week 8Performance specifications and design limitations (cont)
Week 9Balanced Order Reduction
Week 10Uncertainty and Robustness
Week 11Linear Fractional Transformation
Week 12µ and µ synthesis
Week 13Algebraic Ricatti Equation
Week 14H2 ve Hoo controller design, Controller Order Reduction
Week 15
Week 16Final Examination

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project660
Seminar00
Midterms00
Final exam140
Total100
Percentage of semester activities contributing grade succes660
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)12224
Presentation / Seminar Preparation000
Project630180
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 11010
Total Workload3345256

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Obtain advanced level theoretical and applied knowledge by gaining expertise in different areas of Mechanical Engineering.     X
2. Have knowledge, skills and and competence to develop novel approaches in science and technology.    X 
3. Use the tools of the basic and engineering sciences in the solution of complex engineering problems.     X
4. Contribute to the science and technology literature by publishing results of their academic work.    X 
5. Carry out a comprehensive research study that results in a new scientific method or leads to a technological product/process, that brings innovation to science/technology, or is an application of a known methodology into a new field.    X
6. Are able to carry out an advanced level research work in his/her field independently.    X
7. Take the responsibility and develop new strategical approaches for solving unforeseen complicated problems in engineering.    X 
8. Are able to show leadership when faced with problems related to mechanical engineering.     X
9. Are aware of the life-long learning philosophy and its opportunities in effective monitoring of current developments in Mechanical Engineering.   X 
10. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.    X
11. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.   X 
12. Use the information and communication technologies at the advanced level as required by the area of specialization and work.     X
13. Are aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility.     X
14. Uses the information which he/she absorbs from his/her field, the problem solving and practical skills in interdiciplinary studies.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest