Course

Cybernetics (ELE620)

An introduction to stochastic processes and their properties: correlation, white noise and power spectrum. Parametric system identification: ARX and ARMAX models, adaptive filtering, LS and RLS methods. State space models and Kalman filter. Mass and energy balance based models, discretization of continuous systems.


Dette er emnebeskrivelsen for studieåret 2019-2020. Merk at det kan komme endringer.

See course description and exam/assesment information for this semester (2024-2025)

Semesters

Fakta

Emnekode

ELE620

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

Content

An introduction to stochastic processes and their properties: correlation, white noise and power spectrum. Parametric system identification: ARX and ARMAX models, adaptive filtering, LS and RLS methods. State space models and Kalman filter. Mass and energy balance based models, discretization of continuous systems.

Learning outcome

  • Describe discrete and continuous dynamic systems by transfer-functions and state-space-models.
  • Transform a dynamic system from one form to another.
  • Describe stochastic a system.
  • Do state and parameter estimation by Kalman filtering and RLS.

Forkunnskapskrav

HSE-course for master students (TN501)

Exam

Form of assessment Weight Duration Marks Aid Exam system Withdrawal deadline Exam date
Written exam 1/1 4 Hours Letter grades No printed or written materials are allowed. Approved basic calculator allowed Inspera assessment


Vilkår for å gå opp til eksamen/vurdering

Exercises
There will be 8 exercises in discipline, those submitted for approval within given deadlines. At least 6 of the exercises should be done and approved by subject teacher within the specified deadlines.

Fagperson(er)

Head of Department:

Tom Ryen

Laboratory Engineer:

Didrik Efjestad Fjereide

Course teacher:

Damiano Rotondo

Course coordinator:

Damiano Rotondo

Method of work

4 hours of lectures and 1-2 hours exercises per week.

Overlapping

Emne Reduksjon (SP)
Cybernetics (ELE620_1) , System identification (MIK130_1) 10
Cybernetics (ELE620_1) , System identification (MIK130_2) 10

Åpent for

Master studies at the Faculty of Science and Technology.

Emneevaluering

Form and/or discussion.

Litteratur

Documents and lecture notes will be available on Canvas.
The course description is retrieved from FS (Felles studentsystem). Version 1