Identification of Systems Subject to Random State Disturbance.
Scientific interim rept.,
CALIFORNIA UNIV LOS ANGELES SCHOOL OF ENGINEERING AND APPLIED SCIENCE
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A theory of identification of a class of linear systems - lumped and distributed - in the presence of state or process noise is presented. As a specific application, the problem of identifying aircraft stability - control derivatives in turbulence is considered, and results obtained on actual flight data are included. Author
- Statistics and Probability