autumn 2019

STE-3500 System Identification - 5 stp

Sist endret: 15.05.2019

The course is administrated by

Faculty of Engineering Science and Technology

Studiested

Narvik |

Application deadline

Applicants from Nordic countries: 1 June. Exchange students and Fulbright students: 15 April

Type of course

The course can be taken as a single course. 

Admission requirements

To be applicable for the single course the qualification is the same as for the master program in Aerospace Control Engineering (Satellite Engineering). You must have a relevant undergraduate bachelor in engineering, primarily within electronics or space technology, but it may also be within related fields such as automatic control, communications, power electronics or computer science. You must however have a sufficient background in electronics and communications.

There is also a requirement of 30 points with preliminaries in mathematics/statistics, equivalent to the Norwegian courses Mathematics 1, 2, and 3, as well as Statistics.

Knowledge in Physics (7,5 - 10 ects) on a higher level is recommended to be able to follow different courses on the master programme. Some of the courses in the bachelor programme have a certain amount of physics included and can be accepted.

Course contents

This course will provide the students with the knowledge, skills and tools necessary to use well-known and stat-of-the-art concepts within aerospace system identification. Throughout the course students will acquire skills on

  • System identification and parameter estimation in linear systems.
  • Least-Squares methods.
  • Time and Frequency domain methods.
  • Maximum-likelihood methods.
  • Numerical methods.
  • Experiment design concerning UAV system identification.
  • Data analysis. 

Recommended prerequisites

SMN6190 Linear Algebra II

Objective of the course

After passing the subject, the students shall possess the following learning outcomes:

Knowledge:

The student has:

  • advanced knowledge of concepts within system identification
  • advanced knowledge on parameter estimation
  • knowledge on time and frequency domain  based methods
  • knowledge on the various applications of system identification methods
  • knowledge on experiment design and instrumentation errors in conjunction with aerospace systems

Skills:

The student shall be able to:

  • Apply classical system identification methods
  • Apply methods for on-line parameter estimation
  • Analyse a system identification problem and an apply appropriate method for solving it
  • Design test signals to identify an unknown system dynamics
  • Estimate a nonparametric model of the unknown system from pre-recorded signals

General competence

The student shall be able to:

  • Communicate technical issues related to system identification and parameter estimation with both experts and laymen

This course will provide the students with the knowledge, skills and tools necessary to use well-known and stat-of-the-art concepts within aerospace system identification. Throughout the course students will acquire skills on

  • System identification and parameter estimation in linear systems.
  • Least-Squares methods.
  • Time and Frequency domain methods.
  • Maximum-likelihood methods.
  • Numerical methods.
  • Experiment design concerning UAV system identification.
  • Data analysis.  

Language of instruction

English

Teaching methods

Lectures and mandatory hand-in assignments.

Assessment

Mandatory hand-in assignments: The number will be disclosed at the start of the course.

3 hour written exam. Assessment according to standard A-F grading scale where F is a fail.

Allowed examination aids: Calculator

Access to the continuation-exams are given to students that have unable to pass the most recent written ordinary exam in this subject. If the student has their assignments approved, then only the exam is required and the mandatory hand-in assignments are seen as approved. There is no resit option for the mandatory hand-in assignments.

Date for examination

Written 19.12.2019

The date for the exam can be changed. The final date will be announced in the StudentWeb early in May and early in November.

Schedule