STE-3600 System Identification - 5 stp

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. 

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester.

Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

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 minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics

Application code: 9371

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.  

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.