System Identification

What it is about

In this module you will learn to derive mathematical models of dynamic systems from measurement and experimental data. You will learn and apply basic statistical methods, algorithms for parameter estimation and procedures for model validation, with examples predominantly from manned and unmanned aircraft technology.

What you will be able to do

• Analyze prerequisites for parameter estimation and system identification
• Derive methods for system identification from theoretical foundations
• Evaluate methods and algorithms and assign application areas
• Practically apply and implement techniques for data analysis, model structure determination and parameter estimation

What the module consists of

• VorlesungConveying the theoretical foundations of system identification through presentations/lectures; provision of lecture materials
• ÜbungSolving problems to deepen and practically apply the lecture content; discussion and development of solutions

Teaching method

• Vortrag/PräsentationFor deriving and explaining the theoretical foundations (statistics, optimization) and discussing practical aspects
• Aufgabenrechnungen in ÜbungenTo deepen knowledge and practice applying the methods; fosters discussion and development of solution approaches
• Bereitstellung von Vorlesungsunterlagen (Powerpoint-Folien)As reference material for the lecture contents