Systems Modeling & Simulation

Course Information
TitleΠΡΟΣΟΜΟΙΩΣΗ ΚΑΙ ΜΟΝΤΕΛΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ / Systems Modeling & Simulation
CodeΗΥ3102
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Rovithakis
CommonNo
StatusActive
Course ID20000606

Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Class ID
600294007
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Distance learning
Digital Course Content
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
  • Generate new research ideas
  • 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
  • Slide presentations
  • Video lectures
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Project120
Total159
Student Assessment
Description
Final Written Examination Oral Project Examination
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (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