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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
PhD in Electrical Engineering
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / PhD in Electrical Engineering
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ELKL7410Multivariable Control Systems3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The objective of this course is to introduce the students to analysis and synthesis methods to design multivariable control systems. In addition, the course aims to provide solutions of H2 and H∞ optimal control problems and heuristic algorithms used in controller design.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Have the background of multivariable control system design 1,3,51,3,6
PO - 2 : Calculate L2 , H2 , L∞ and H∞ norms and internal stability .1,3,51,3,6
PO - 3 : Design H2 ve H∞ optimal controllers.1,3,51,3,6
PO - 4 : Design PID and FOPID controllers using heuristic algorithms1,3,5,81,3,6
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Linear spaces, Invariant subspaces, Multivariable system poles and zeros, Hilbert spaces, H2 and H∞ spaces, Power and spectral norms, Computing L2 and H2 norms, Feedback structure, Well-posedness of feedback loop,? Internal stability, Model Reduction, Lyapunov equations and inequalities, Observability operator and grammian, Controllability operator and grammian, H2 optimal control motivation, Standard LQR problem, Extended LQR problem, H∞ control, Heuristic algorithms and cost functions used in controller design.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Motivation, Linear spaces, Eigenvalues and eigenvectors, Invariant subspaces, Vector and matrix norms
 Week 2Linear dynamical systems, Controllability and observability, State space realization, Multivariable system poles and zeros
 Week 3Hilbert spaces, H2 and H ∞ spaces, Power and spectral norms, Computing L2 and H2 norms
 Week 4Computing L ∞ and H ∞ norms, Feedback structure, Well-posedness of feedback loop, Internal stability
 Week 5Model Reduction, Lyapunov equations and inequalities, Observability operator and grammian, Controllability operator and grammian
 Week 6Model uncertainty, Small gain theorem, Stability under unstructured uncertainty
 Week 7Static state feedback stabilization via LMIs, An LMI characterization of the stabilization problem, Controller parametrization, Existence of stabilizing controllers
 Week 8Parametrizing all stabilizing controller, H2 optimal control: motivation, Standard LQR problem, Extended LQR problem
 Week 9Mid-term exam
 Week 10H∞ optimal kontrol
 Week 11Denetleyici tasarımında kullanılan sezgisel algoritmalar
 Week 12Heuristic algorithms used in controller design, cost functions
 Week 13PID and Fractional order PID (FOPID) controller design via particle swarm optimization algorithm
 Week 14PID and Fractional order PID (FOPID) controller design via cuckoo search algorithm
 Week 15PID and Fractional order PID (FOPID) controller design via flower pollination algorithm
 Week 16End-of-term exam
 
Textbook / Material
1Zhou K.,1998; Essentials of Robust Control, Prentice-Hall
 
Recommended Reading
1Zhou, K. Doyle, J.C. and Glover, K.,1996; Robust and Optimal Control, Prentice Hall
2Dullerud, G.E. Paganini F.G. 1999; A Course in Robust Control Theory: A convex Approach, Springer-Verlag
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 20
Project 14 10 30
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 2 10 20
Arasınav için hazırlık 2 7 14
Arasınav 2 1 2
Proje 2 10 20
Dönem sonu sınavı için hazırlık 1 5 5
Dönem sonu sınavı 2 1 2
Total work load105