COURSE UNIT TITLE

: OPTIMAL CONTROL

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5104 OPTIMAL CONTROL ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR GÜLESER KALAYCI DEMIR

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING NON -THESIS (EVENING PROGRAM)
ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING

Course Objective

This course aims to provide the students learning the basics of the optimal control and familiarize the techniques for determination of a control signal that optimize a given performance criterion possibly under some physical constraints of a process.

Learning Outcomes of the Course Unit

1   Be able to explain the concepts of optimal control, optimality, measures of optimality and performance indices in dynamic systems.
2   Be able to use appropriate techniques to handle optimization problems.
3   Be able to use variational approach to optimal control.
4   Be able to design linear quadratic control systems.
5   Be able to apply optimal control in the applications such as aerospace, industry, and vehicle control.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to optimal kontrol, optimality, performance indexes
2 Numerical Optimization
3 Dynamic Programming
4 Dynamic Programming
5 Variational Calculus
6 Pontryagin's Minimum Principle
7 Variational Approach for Optimal Control Problems
8 Midterm
9 Linear Quadratic Control Problems
10 Optimal State Estimation
11 Nonlinear State Estimation and Adaptive Filtering
12 Continous-time Optimal Tracking Control
13 Discrete-time Optimal Tracking Control
14 The Minimum Principle for Constrained Input Problems, Minimum Time Control, Minimum Fuel Control

Recomended or Required Reading

- Optimal Control Theory: An introduction, D.E. Kirk, Dover Books on Electrical Engineering, 2004.
- Optimal Control and Estimation, R.F. Stengel, Dover Books on Mathematics, 1994.

Planned Learning Activities and Teaching Methods

In-class presentations, discussions, application and project-based learning

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRJ * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRJ * 0.30 + MTE * 0.30 + RST * 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dokuz Eylul University,
Electrical and Electronics Engineering Department,
Tınaztepe Campus, Buca - Izmir Turkey
e-mail: guleser.kalayci@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 17 17
Preparation for final exam 1 20 20
Design Project 1 55 55
Preparing presentations 1 11 11
Reading 2 3 6
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.14
LO.2444
LO.3444
LO.4455
LO.51444444

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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