| Course Type | Elective Course |
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 5 |
| 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 | |
| Course Description | Mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parameterization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues. |
| 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 | * Ljung, Lennart. System Identification: A Theory for the User. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 1998. ISBN: 0136566952 |
| 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 |
|
| Language of Instruction | - |
| Work Placement(s) | No |