文件名称:KalMat
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Object-based fr a mework for performing Kalman filtering for discrete time systems or continuous-discrete hybrid systems. Includes code for the classical Kalman filter for linear systems, the extended Kalman filter (EKF), and the more recent unscented Kalman filter (UKF). Both linear and non-linear noise in the system and observation are permitted.
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下载文件列表
KalMat
......\BaseContinuousSystemModel.m
......\BaseDiscreteSystemModel.m
......\BaseObserverModel.m
......\BaseSystemModel.m
......\BLUEFilter.m
......\demos
......\.....\DoubleWell.m
......\.....\HeatConduction.m
......\.....\Reentry.m
......\EKFContinuousSystemModel.m
......\EKFObserverModel.m
......\EKFSystemModel.m
......\ekfTransform.m
......\LinearContinuousSystemModel.m
......\LinearObserverModel.m
......\LinearSystemModel.m
......\sdchol.m
......\symmetricSigmaPoints.m
......\UnscentedContinuousSystemModel.m
......\UnscentedObserverModel.m
......\UnscentedSystemModel.m
......\unscentedTransform.m
license.txt
......\BaseContinuousSystemModel.m
......\BaseDiscreteSystemModel.m
......\BaseObserverModel.m
......\BaseSystemModel.m
......\BLUEFilter.m
......\demos
......\.....\DoubleWell.m
......\.....\HeatConduction.m
......\.....\Reentry.m
......\EKFContinuousSystemModel.m
......\EKFObserverModel.m
......\EKFSystemModel.m
......\ekfTransform.m
......\LinearContinuousSystemModel.m
......\LinearObserverModel.m
......\LinearSystemModel.m
......\sdchol.m
......\symmetricSigmaPoints.m
......\UnscentedContinuousSystemModel.m
......\UnscentedObserverModel.m
......\UnscentedSystemModel.m
......\unscentedTransform.m
license.txt