1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. ELECTRICAL AND ELECTRONICS ENGINEERING DEPARTMENT
  4. 1181 Electrical and Electronics Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ELK 519OPTIMAL CONTROL3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle, and it includes many examples and applications of the theory.
Course Content Nonlinear optimization – MATLAB implementation / Optimization approaches: dynamic programming, Calculus of Variations / Linear quadratic and H∞ compensators / Model predictive control
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Knows nonlinear optimization.
2Knows the concepts of the dynamic programming.
3Knows the concepts of the optimal control.
4Knows the concepts of the model predictive control.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 00125444      
LO 00225444      
LO 00324555      
LO 00424555      
Sub Total818181818      
Contribution25555000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11515
Mid-terms12323
Final examination13030
Presentation / Seminar Preparation11515
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2010-2011 Spring1SEZAİ TOKAT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ELK 519 OPTIMAL CONTROL 3 + 0 1 Turkish 2010-2011 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SEZAİ TOKAT stokat@pau.edu.tr Course location is not specified. %
Goals This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle, and it includes many examples and applications of the theory.
Content Nonlinear optimization – MATLAB implementation / Optimization approaches: dynamic programming, Calculus of Variations / Linear quadratic and H∞ compensators / Model predictive control
Topics
WeeksTopics
1 Optimal control problem, historical development
2 Static optimization without constraints and with equality constraints
3 Optimal control of discrete-time systems, solution of the general discrete optimization problem
4 discrete-time linear quadratic regulator.
5 Optimal control of continuous-time systems, calculus of variations
6 Calculus of variations approach to optimal control systems
7 Continuous-time linear quadratic regulator
8 Tracking problem
9 Final-time-free problems
10 MIDTERM WEEK
11 Constrained input problems
12 Iterative numerical methods for finding optimal control
13 Iterative numerical methods for finding optimal control
14 Presentation of sample optimal control applications
Materials
Materials are not specified.
Resources
Course Assessment
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes