printer friendly pageAA 273: State Estimation and Filtering for Aerospace Systems
Kalman filtering, recursive Bayesian filtering, and nonlinear filter architectures including the extended Kalman filter, particle filter, and unscented Kalman filter. Observer-based state estimation for linear and non-linear systems. Examples from aerospace, including state estimation for fixed-wing aircraft, rotorcraft, spacecraft, and planetary rovers, with applications to control, navigation, and autonomy.
Terms: Spr
| Units: 3
Instructors:
Schwager, M. (PI)
;
Culbertson, P. (TA)
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