Modelling & Simulation of Dynamical Systems
| Title | Προσομοίωση και Μοντελοποίηση Δυναμικών Συστημάτων / Modelling & Simulation of Dynamical Systems |
| Code | 084 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Georgios Rovithakis |
| Common | No |
| Status | Active |
| Course ID | 600001037 |
Programme of Study: Electrical and Computer Engineering
Registered students: 33
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ELECTRICAL ENERGY | Elective Courses | 8 | 4 | 5 |
| ELECTRONICS AND COMPUTER ENGINEERING | Elective Courses | 8 | 4 | 5 |
| TELECOMMUNICATIONS | Elective Courses | 8 | 4 | 5 |
| Academic Year | 2019 – 2020 |
| Class Period | Spring |
| Faculty Instructors | |
| Class ID | 600144729
|
Class Schedule
| Building | Πολυτεχνείο - πτέρυγα Γ (ΤΗΜΜΥ & Τοπογράφων Μηχ.) |
| Floor | Όροφος 1 |
| Hall | Α2 (3) |
| Calendar | Τρίτη 17:00 έως 20:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600144729
- eLearning (Moodle):
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Learning Outcomes
Upon successfull completion of the course, the students will be able to:
a) construct mathematical models from data and they will implement them in MATLAB,
b) design and analyze off-line and on-line parameter estimation algorithms and they will implement them in MATLAB,
c) perform model validation.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Advance free, creative and causative thinking
Course Content (Syllabus)
Models of dynamical systems
Linear parameterization
Off-line parameter estimation algorithms and the Least-Squares method
On-line parametrer estimation algorithms (the parameter drift phenomenon, σ-modification, switching σ-modification, dead-zone, projection modification)
Model structure selection methods
Model validation
Keywords
Mathematical models, parameter estimation, validation
Educational Material Types
- Notes
- Video lectures
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 57 | 1.9 | |||
| Tutorial | 29 | 1.0 | |||
| Project | 40 | 1.3 | |||
| Exams | 24 | 0.8 | |||
| Total | 150 | 5 |
Student Assessment
Description
Written Examination
Assessment of optional projects
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Performance / Staging (Summative)
- Written Exam with Problem Solving (Summative)
- Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
Σημειώσεις του Διδάσκοντος
Additional bibliography for study
1.L. Ljung, System Identification Theory for the User, Prentice Hall, New Jersey, 1999.
2.R. Johansson, System Modeling & Identification, Prentice Hall, New Jersey, 1993.
3.O. Nelles, Nonlinear System Identification, Springer, Berlin, 2001.
Last Update
30-11-2020
