文件名称:kalman
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- 上传时间：2016-11-13
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文件大小：10.69kb
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Overview
The Simulink model shows an example how the Kalman Filter can be
implemented in Simulink. The model itself is configured with a Gaussian
process connected with a Kalman Filter. To directly use this model, one
only needs to provide model prarameters including parameters of the
Gaussian process, which are state space matrices, A, B, C, and D, initial
state, x0, and covariance matrices, Q and R and similar parameters for
the Kalman Filter, which can be in different values to mimic the model
mismatch, plus the state covariance, P. The following examples show how
this model can be used.
The Kalman Filter can also be used as a standard model block to be
connected with any other systems- Overview
The Simulink model shows an example how the Kalman Filter can be
implemented in Simulink. The model itself is configured with a Gaussian
process connected with a Kalman Filter. To directly use this model, one
only needs to provide model prarameters including parameters of the
Gaussian process, which are state space matrices, A, B, C, and D, initial
state, x0, and covariance matrices, Q and R and similar parameters for
the Kalman Filter, which can be in different values to mimic the model
mismatch, plus the state covariance, P. The following examples show how
this model can be used.
The Kalman Filter can also be used as a standard model block to be
connected with any other systems
The Simulink model shows an example how the Kalman Filter can be
implemented in Simulink. The model itself is configured with a Gaussian
process connected with a Kalman Filter. To directly use this model, one
only needs to provide model prarameters including parameters of the
Gaussian process, which are state space matrices, A, B, C, and D, initial
state, x0, and covariance matrices, Q and R and similar parameters for
the Kalman Filter, which can be in different values to mimic the model
mismatch, plus the state covariance, P. The following examples show how
this model can be used.
The Kalman Filter can also be used as a standard model block to be
connected with any other systems- Overview
The Simulink model shows an example how the Kalman Filter can be
implemented in Simulink. The model itself is configured with a Gaussian
process connected with a Kalman Filter. To directly use this model, one
only needs to provide model prarameters including parameters of the
Gaussian process, which are state space matrices, A, B, C, and D, initial
state, x0, and covariance matrices, Q and R and similar parameters for
the Kalman Filter, which can be in different values to mimic the model
mismatch, plus the state covariance, P. The following examples show how
this model can be used.
The Kalman Filter can also be used as a standard model block to be
connected with any other systems
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下载文件列表
kalmanfilter.mdl
runkalmanfilter.m
runkalmanfilter.m