Preliminary MSc. Thesis Presentation 'Maximum Likelihood Estimation of Linear Time-Varying Pilot Model Parameters' by Martin Kers.

1. Maximum Likelihood Estimation of Linear Time-Varying Pilot Model Parameters Preliminary Thesis Presentation

3. • • • • • edmundhernandez.blogspot.com

5. Introduction The Control-Theoretical Pilot (2/3) • • • • • System Identification since 1960s to estimate Pilot Model Parameters (e.g. gain K , damping constant ζ nm , natural frequency ω nm ) Input Time

7. Main Challenge & Research Goals • • • • •

9. Main Challenge Pilot Model Considerations • • • • •

10. Primary Goal Advanced Understanding of Time-Varying Pilot Model Parameter Estimation with Maximum Likelihood Estimation to further quantify Time-Varying Human Control Behavior. Research Goals • • • • • Secondary Goal Shorten the Amount of Experimental Data needed for Qualitatively Equivalent Parameter Estimation of Multichannel Pilot Models.

12. Literature Research • • • • •

15. Literature Research Frequency- versus Time-Domain Techniques (1/2) • • • • • Frequency-Domain Time-Domain Continuous-Time Data Discrete-Time Data No A Priori Information necessary A Priori Information necessary Fast Computation Slower Computation Limited to LTI Systems Time-Varying Systems Limited Methods available Variety of Methods available

16. Literature Research Frequency- versus Time-Domain Techniques (2/2) • • • • •

19. Research Approach • • • • •

24. Research Approach Zaal & Sweet (August 2011) (3/4) • • • • •

25. Research Approach Zaal & Sweet (August 2011) (4/4) • • • • •

27. Research Approach Multisine Excitation • • • • •

32. • • • • • Maximum Likelihood Estimation of Linear Time-Varying Pilot Model Parameters Discussion & Questions