#include <analyticmeasurementmodel_gaussianuncertainty.h>
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| AnalyticMeasurementModelGaussianUncertainty (AnalyticConditionalGaussian *Measurementpdf=NULL) |
| Constructor. More...
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virtual | ~AnalyticMeasurementModelGaussianUncertainty () |
| Destructor.
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virtual MatrixWrapper::Matrix | df_dxGet (const MatrixWrapper::ColumnVector &u, const MatrixWrapper::ColumnVector &x) |
| Returns H-matrix. More...
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virtual MatrixWrapper::ColumnVector | PredictionGet (const MatrixWrapper::ColumnVector &u, const MatrixWrapper::ColumnVector &x) |
| Returns estimation of measurement.
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virtual MatrixWrapper::SymmetricMatrix | CovarianceGet (const MatrixWrapper::ColumnVector &u, const MatrixWrapper::ColumnVector &x) |
| Returns covariance on the measurement.
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int | MeasurementSizeGet () const |
| Get Measurement Size.
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bool | SystemWithoutSensorParams () const |
| Number of Conditional Arguments.
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ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > * | MeasurementPdfGet () |
| Get the MeasurementPDF.
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void | MeasurementPdfSet (ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *pdf) |
| Set the MeasurementPDF. More...
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MatrixWrapper::ColumnVector | Simulate (const MatrixWrapper::ColumnVector &x, const MatrixWrapper::ColumnVector &s, const SampleMthd sampling_method=SampleMthd::DEFAULT, void *sampling_args=NULL) |
| Simulate the Measurement, given a certain state, and an input. More...
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MatrixWrapper::ColumnVector | Simulate (const MatrixWrapper::ColumnVector &x, const SampleMthd sampling_method=SampleMthd::DEFAULT, void *sampling_args=NULL) |
| Simulate the system (no input system) More...
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Probability | ProbabilityGet (const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &x, const MatrixWrapper::ColumnVector &s) |
| Get the probability of a certain measurement. More...
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Probability | ProbabilityGet (const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &x) |
| Get the probability of a certain measurement. More...
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Class representing all continuous analytic Measurement Models with additive Gaussian Uncertainty
Definition at line 30 of file analyticmeasurementmodel_gaussianuncertainty.h.
◆ AnalyticMeasurementModelGaussianUncertainty()
Constructor.
- Parameters
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Measurementpdf | ConditionalPdf<S,T> representing |
- See also
- MEASUREMENT_SIZE, STATE_SIZE, INPUT_SIZE, _MeasurementPdf
◆ df_dxGet()
◆ MeasurementPdfSet()
Set the MeasurementPDF.
- Parameters
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pdf | a pointer to the measurement pdf |
Definition at line 95 of file measurementmodel.h.
◆ ProbabilityGet() [1/2]
Get the probability of a certain measurement.
given a certain state and input
- Parameters
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z | the measurement value |
x | current state of the system |
s | the sensor param value |
- Returns
- the "probability" of the measurement
Definition at line 150 of file measurementmodel.h.
◆ ProbabilityGet() [2/2]
Get the probability of a certain measurement.
(measurement independent of input) gived a certain state and input
- Parameters
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z | the measurement value |
x | x current state of the system |
- Returns
- the "probability" of the measurement
Definition at line 161 of file measurementmodel.h.
◆ Simulate() [1/2]
Simulate the Measurement, given a certain state, and an input.
- Parameters
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x | current state of the system |
s | sensor parameter |
- Returns
- Measurement generated by simulating the measurement model
- Parameters
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sampling_method | the sampling method to be used while sampling from the Conditional Pdf describing the system (if not specified = DEFAULT) |
sampling_args | Sometimes a sampling method can have some extra parameters (eg mcmc sampling) |
- Note
- Maybe the return value would better be a Sample<StateVar> instead of a StateVar
Definition at line 121 of file measurementmodel.h.
◆ Simulate() [2/2]
Simulate the system (no input system)
- Parameters
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x | current state of the system |
- Returns
- State where we arrive by simulating the measurement model
- Note
- Maybe the return value would better be a Sample<StateVar> instead of a StateVar
- Parameters
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sampling_method | the sampling method to be used while sampling from the Conditional Pdf describing the system (if not specified = DEFAULT) |
sampling_args | Sometimes a sampling method can have some extra parameters (eg mcmc sampling) |
Definition at line 137 of file measurementmodel.h.
The documentation for this class was generated from the following file: