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. 

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

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.  

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