Type of course

Admission requirements

A relevant undergraduate Bachelor in Engineering, primarily within electronics or space technology.

In addition, the following requirements must be met:

- minimum 25 credits in mathematics (equivalent to Mathematical Methods 1, 2 og 3), 5 credits in statistics and 7,5 ects i physics on a higher level is required.

Application code: 9371

Course content

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.
• On-line methods.
• Maximum-likelihood methods.
• Numerical methods.
• Experiment design concerning UAV system identification.
• Data analysis.

Recommended prerequisites

Objectives 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 and examination

Teaching methods

Information to incoming exchange students

This course is open for inbound exchange student who meets the admission requirements. Please see the Admission requirements" section".

Master Level

Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: https://en.uit.no/education/art?p_document_id=510412.