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Module guide

Modul CS4480-KP04

System Identification (Sysiden)

Duration:


1 Semester
Turnus of offer:


irregularly in the summer semester
Credit points:


4
Course of studies, specific field and terms:
  • Master MES 2020 (optional subject), computer science / electrical engineering, Arbitrary semester
  • Master MES 2014 (optional subject), computer science / electrical engineering, Arbitrary semester
  • Master Robotics and Autonomous Systems 2019 (optional subject), Additionally recognized elective module, 1st or 2nd semester
Classes and lectures:
  • System Identification (exercise, 1 SWS)
  • System Identification (lecture, 2 SWS)
Workload:
  • 45 Hours in-classroom work
  • 10 Hours exam preparation
  • 65 Hours private studies and exercises
Contents of teaching:
  • Introductory topics:
  • Discretization and Discrete-time (DT) models
  • Least-square estimation
  • Main topics:
  • Parametric model identification: Prediction error method, Subspace identification
  • Non-parametric model identification
  • Data-driven models
  • Model Validation
Qualification-goals/Competencies:
  • The students can explain the general framework and basic properties of different identification methods including least-squares method, the prediction error method, the subspace method, standard non-parametric methods and the data-driven method.
  • Students can formulate and implement algorithms for system identification.
  • students are able to estimate mathematical models of a dynamical system from input-output data using the different methods presented in this course.
  • They can evaluate the quality of the identified models.
  • They can use Matlab System Identification Toolbox to identify linear dynamical models using different identification methods.
Grading through:
  • Written or oral exam as announced by the examiner
Responsible for this module:
Teachers:
  • Dr.-Ing. Hossameldin Abbas
Literature:
  • Karel J. Keesman: System Identification: An Introduction - Springer-Verlag London Limited 2011
  • Lennart Ljung and Torkel Glad: Modeling of Dynamic Systems - Prentice Hall 1994
  • Lennart Ljung: System Identification - Theory for the User - Prentice Hall 1999
Language:
  • offered only in English
Notes:

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- none

Module Exam(s):
- CS4480-L1: System Identification, Oral Examination, 100% of module grade

Letzte Änderung:
31.8.2022