Open Loop Experiment Design

• Basics
• Informative experiments
• Choice of sampling interval and pre-sampling filters
• Applications oriented experiment design 
• Relating application specifications to the identification specifications.
• Least-costly identification
• Computational issue
• Convexification
• Frequency-domain design
•  The cost of system and model complexity.
• Robust design
• Adaptive

Reading Material

Ljung: Chapter 13.1-13.3, Applications oriented experiment design

Optional References

Lecturer

Håkan Hjalmarsson