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| ELK5340 | Modeling of Dynamic Systems & Identification | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Modeling of Dynamic Systems and İdentification with on-line and off-line methods. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Have the knowledge on dynamic system, system modeling and system identification, | 1 | 1,5 | | PO - 2 : | Have the knowledge on the methods of on-line system identification, | 1,6,10,15 | 1,5 | | PO - 3 : | Have the knowledge on the methods of off-line system identification, | 1,5,10,15 | 1,5 | | PO - 4 : | Apply to modeling of system using the methods for dynamic systems | 1,5,10,15 | 1,5 | | PO - 5 : | Make working with her/his friends and make experiments by himself/herself | 1,5,10,12,15 | 1,5 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Introduction, classical methods of system identification, off-line methods for system identification, on line identification of discrete-time systems, linear multivariable systems, stochastic modeling, identification of a closed loop system, reduction of high-order system, combined state and parameter estimation, distributed parameter systems, design of optimal input signal, determination of the order and structure, diagnostic tests and model validation. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, classical methods of system identification. | | | Week 2 | Classical methods of system identification, off-line methods for system identification. | | | Week 3 | On-line identification of discrete-time systems. | | | Week 4 | İdentification of the linear multivariable systems. | | | Week 5 | Stochastic modeling. | | | Week 6 | Identification of a closed loop system. | | | Week 7 | Reduction of high-order system. | | | Week 8 | Combined state and parameter estimation. | | | Week 9 | Mid-term exam | | | Week 10 | Distributed parameter systems. | | | Week 11 | Design of optimal input signal. | | | Week 12 | Determination of the order and structure. | | | Week 13 | Diagnostic tests and model validation. | | | Week 14 | The student's presentation | | | Week 15 | The student's presentation | | | Week 16 | End-of-term exam | | | |
| 1 | Sinha, N.K., Kustza, B.; 1983; 'Modeling and identification of dynamic systems' | | | |
| 1 | Hung V. Vu; Ramin S. Esfandiari; 1998; 'Dynamic systems : modeling and analysis' | | | 2 | William J. Palm; 1983; 'Modeling, analysis, and control of dynamic systems' | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 3 | 30 | | Presentation | 14 | | 3 | 20 | | End-of-term exam | 16 | | 3 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 5 | 8 | 40 | | Arasınav | 3 | 1 | 3 | | Ödev | 4 | 7 | 28 | | Dönem sonu sınavı için hazırlık | 8 | 6 | 48 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 206 |
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