Course
Cybernetics (ELE620)
Dette er emnebeskrivelsen for studieåret 2013-2014. Merk at det kan komme endringer.
Semesters
Fakta
Emnekode
ELE620
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
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 ant parameter estimation by Kalman filtering and RLS.
Forkunnskapskrav
HSE-course for master students (TN501)
Exam
Fagperson(er)
Head of Department:
Tom RyenLaboratory Engineer:
Didrik Efjestad FjereideCourse teacher:
Damiano RotondoCourse coordinator:
Damiano RotondoMethod of work
4 hours lectures and 1-2 hour exercises each week. 8 mandatory work demands (such as hand in assignments, laboratory assignments, projects, etc) 6 mandatory work must be approved and passed by subject teacher three weeks ahead of examination date.
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
"Discrete-time and Stochastic systems; System identification incl. Kalman Filter; Model-based control"
This can be purchased from the following website:
http://www.techteach.no/publications/compendiums/discretetime_sysid_modelbasedcontrol/index.htm
The course description is retrieved from FS (Felles studentsystem). Version 1