| Course Type | Elective Course |
|---|
| Course Level | Doctorate Of Science |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- To be able to make modeling of systems under the influence of nonlinear distorting factors.
- To understand the models of linear time-invariant systems.
- Estimation of known and unknown noise model.
- Having knowledge of modeling of time varying and nonlinear systems.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None. |
|---|
| Course Description | Systems and models. Modeling concept, model types and examples. Comparison of mathematical modeling and system recognition. Flow chart of system recognition, basic definitions and concepts. Nonparametric methods in system identification; transition function, frequency response methods. Frequency Response Methods of Nonlinear Disruptions. The Concept of Continuous Warning, Constant Warning Signs. Frequency Response Methods of Nonlinear Disruptions, Model Constitution of Linear Time Invariant Systems. Estimation of Known and Unknown Noise Model. Model Structure Selection and Verification. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Systems and Models, Modeling Concept, Model Types and Examples, Mathematical Modeling and System Identification. |
|
2nd Week |
Flow chart of system recognition, basic definitions and concepts. |
|
3rd Week |
Nonparametric methods in system identification. |
|
4th Week |
Transition function, frequency response methods. |
|
5th Week |
Frequency Response Methods of Nonlinear Disruptions. |
|
6th Week |
Frequency Response Methods of Nonlinear Disruptions. |
|
7th Week |
The Concept of Continuous Warning, Constant Warning Signs. |
|
8th Week |
MIDTERM |
|
9th Week |
Model Constitution of Linear Time Invariant Systems. |
|
10th Week |
Estimation of Known Noise Model. |
|
11th Week |
Estimation of Known Noise Model. |
|
12th Week |
Estimation of Unknown Noise Model. |
|
13th Week |
Model Structure Selection and Verification. |
|
14th Week |
Model Structure Selection and Verification. |
|
| Recommended or Required Reading | 1. System Identification, R.Pintelon, J. Schoukens, IEEE press, 2001.
2. System Identification,2nd ed., L. Ljung, Prentice Hall,1999.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Project |
1 |
20 |
| Total(%) |
|
55 |
| Contribution of In-term Studies to Overall Grade(%) |
|
55 |
| Contribution of Final Examination to Overall Grade(%) |
|
45 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
3 |
3 |
| Preparation for Quiz |
0 |
0 |
0 |
| Individual or group work |
14 |
8 |
112 |
| Preparation for Final exam |
1 |
40 |
40 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
30 |
30 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
3 |
3 |
| Homework |
2 |
35 |
70 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
