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Mathematics concept
unscented optimal control combines the notion of the unscented transform with deterministic optimal control to address a class of uncertain optimal control
Unscented_optimal_control
Estimation method
computational framework for Riemann-Stieltjes optimal control. This computational approach is known as unscented optimal control. Uhlmann and Simon Julier published
Unscented_transform
and control, orbital mechanics, real-time optimal control, unscented optimal control, continuous optimization and aeromaneuvering guidance and control. The
I._Michael_Ross
Algorithm that estimates unknowns from a series of measurements over time
(October 2015). "A Systematization of the Unscented Kalman Filter Theory". IEEE Transactions on Automatic Control. 60 (10): 2583–2598. Bibcode:2015ITAC.
Kalman_filter
Filter for nonlinear state estimation
counterpart, the extended Kalman filter in general is not an optimal estimator (it is optimal if the measurement and the state transition model are both
Extended_Kalman_filter
Process of controlling orientation of an aerospace vehicle
Markley, F. Landis (May 23, 2012). "Unscented Filtering for Spacecraft Attitude Estimation". Journal of Guidance, Control and Dynamics. 26 (4): 536–542. doi:10
Spacecraft attitude determination and control
Spacecraft_attitude_determination_and_control
Radar component
The most common non-linear filters are: the Extended Kalman filter the Unscented Kalman filter the Particle filter The EKF is an extension of the Kalman
Radar_tracker
Signal filter whose output is not a linear function of its input
filter Unscented Kalman filter section in Kalman filter Nonlinear filtering problem Projection filters Ruslan L. Stratonovich (1959), Optimum nonlinear
Nonlinear_filter
Software application for use in satellite missions
Product Generation for the EOS AM-1 Spacecraft (PDF). Spacecraft Ground Control and Data Systems (SCD 2). NASA. hdl:2060/19990102214. Archived from the
FreeFlyer
Type of Monte Carlo algorithms for signal processing and statistical inference
Regularized auxiliary particle filter Rejection-sampling based optimal particle filter Unscented particle filter Online particle smoother Assumed density filter
Particle_filter
American computer scientist
A comparison of unscented and extended Kalman filtering for estimating quaternion motion. In Proceedings of the 2003 American Control Conference (pp. 2435-2440
Joseph_J._LaViola_Jr.
Matrix decomposition method
− ρ 2 z 2 {\textstyle x_{2}=\rho z_{1}+{\sqrt {1-\rho ^{2}}}z_{2}} . Unscented Kalman filters commonly use the Cholesky decomposition to choose a set
Cholesky_decomposition
Detection of a virtual/augmented reality user's pose
2018). "Human Arm Motion Tracking by Inertial/Magnetic Sensors Using Unscented Kalman Filter and Relative Motion Constraint". Journal of Intelligent
3D_tracking
Radar system that does not transmit
Again the optimum approach is to combine the measurements from each transmitter using a non-linear filter, such as the extended or unscented Kalman filter
Passive_radar
Process in machine learning and statistics
Hauberg, Søren; Lauze, François; Pedersen, Kim Steenstrup (2013-05-01). "Unscented Kalman Filtering on Riemannian Manifolds". Journal of Mathematical Imaging
Feature_selection
Statement about a future event
Sons. ISBN 978-1-118-35685-2. Julier, S. J.; Uhlmann, J. K. (2004). "Unscented filtering and nonlinear estimation". Proceedings of the IEEE. 92 (3):
Prediction
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