Kalman Filter Recent Advances And Applications Pdf
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In statistics and control theory , Kalman filtering , also known as linear quadratic estimation LQE , is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. The Kalman filter has numerous applications in technology. A common application is for guidance, navigation, and control of vehicles, particularly aircraft, spacecraft and dynamically positioned ships. Kalman filters also are one of the main topics in the field of robotic motion planning and control and can be used in trajectory optimization.
Kalman Filter Recent Advances and Applications. Edited by: Victor M. Moreno and Alberto Pigazo. ISBN , PDF ISBN
Kalman Filter Recent Advances and Applications
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Moreno, Alberto Pigazo.