ECTS - Estimation and Identification for Engineering Systems
Estimation and Identification for Engineering Systems (MDES630) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Estimation and Identification for Engineering Systems | MDES630 | Elective Courses | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses Taken From Other Departments |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | At the end of the course students will gain the ability to design filters for state estimation and will experience the implementation of the designed filters on physical systems. Also, some techniques in system identification will be discussed and students will practice experiments for system identification. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Kalman filtering, nonparametric identification techniques and parameter estimation methods; implementation of filtering algorithms on physical systems and collecting data from real systems. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | State estimation, review of observers | - |
| 2 | Kalman filter | - |
| 3 | Extended Kalman filter | - |
| 4 | Unscented Kalman filter | - |
| 5 | Unscented Kalman filter | - |
| 6 | Case studies | - |
| 7 | Case studies | - |
| 8 | Concepts in system identification | - |
| 9 | Nonparametic methods, parameter estimation methods | - |
| 10 | Least squares estimation | - |
| 11 | Maximum likelihood estimation | - |
| 12 | Prediction error method | - |
| 13 | Neural networks for identification | - |
| 14 | Case studies | - |
| 15 | Overall review | - |
| 16 | Final exam | - |
Sources
| Course Book | 1. Kumar, P. R., Varaiya, P., Stochastic Systems: Estimation, Identification, and Adaptive Control, Prentice Hall, 1986. |
|---|---|
| Other Sources | 2. Ljung, L., System Identification, Theory for the User, PTR Prentice Hall, New Jersey, 1987. |
| 3. Maybeck, P. S., Stochastic Models, Estimation, and Control, Academic Press, 1979. | |
| 4. Minkler G., Minkler J. Theory and Application of Kalman Filtering, Magellan Book Company, USA, 1993. | |
| 5. Nelles O., Nonlinear System Identification from Classical Approaches to Neural Networks and Fuzzy Models, Springer, 2001 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 2 | 40 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 20 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 80 |
|---|---|
| Percentage of Final Work | 20 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Demonstrates the ability to conduct advanced research activities both individually and as a team member. | |||||
| 2 | Gains the competence to examine, evaluate, and interpret research topics through scientific reasoning. | |||||
| 3 | Develops new methods and applies them to original research areas and topics. | |||||
| 4 | Systematically acquires experimental and/or analytical data, discusses and evaluates them to reach scientific conclusions. | |||||
| 5 | Applies the scientific philosophical approach in the analysis, modeling, and design of engineering systems. | |||||
| 6 | Synthesizes knowledge in their field to create, maintain, complete, and present original studies at an international level. | |||||
| 7 | Contributes to scientific and technological advancements in their engineering field. | |||||
| 8 | Contributes to industrial and scientific progress to improve society through research activities. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | |||
| Project | 3 | 10 | 30 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 136 | ||