ACADEMICS
Course Details

ELE755 - Linear Optimal Control

2024-2025 Spring term information
The course is not open this term
ELE755 - Linear Optimal Control
Program Theoretýcal hours Practical hours Local credit ECTS credit
PhD 3 0 3 10
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-face
Learning and teaching strategies : Lecture. Discussion. Question and Answer.
Course objective :
Learning outcomes :
Course content :
References :
Course Outline Weekly
Weeks Topics
1 A brief review of basic concepts: State-space model, transfer function, poles and zeros, modes, stability, similarity transformations, controllability and observability, norms, calculus of variations, Lagrange multipliers method.
2 Linear quadratic regulator (LQR): Cost function, Hamiltonian system, matrix Riccati equation, control law
3 Steady-state LQR: Algebraic Riccati equation, closed-loop system
4 Stochastic regulator, H2 optimal control
5 Linear minimum mean squares estimation, principle of orthogonality
6 Kalman Filter: Predictor form, observer form, estimation error, Hamiltonian system
7 Kalman Filter: Steady-state Kalman Filter, H2 optimal estimation, duality, Kalman Filter poles
8 Midterm Exam
9 Linear quadratic Gaussian control (LQG): Derivation of the control law, transient response, reference following and disturbance rejection analyses
10 Linear quadratic Gaussian control (LQG): Steady-state, closed-loop poles, Lyapunov equation, reference following, disturbance rejection
11
12
13
14
15 Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 6 40
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 20
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 13 3 39
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 5 70
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 6 20 120
Midterms (Study duration) 1 25 25
Final Exam (Study duration) 1 35 35
Total workload 35 88 289
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.
4. Can independently carry out all stages of a novel research project.
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects.
6. Contributes to the science and technology literature.
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering