DetectionFilterSimulation:
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Simulate a detection filter using a state space model.
The failure vector can be used to fail actuators an sensors. Failures can
be a bias (which can be zero) and/or noise. All fields in failure are
optional. If you only enter the k... fields, then the failure will be a
zero. The bias and noise arrays must be the same size as the k... arrays.
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Form:
[r, xDF, xP] = DetectionFilterSimulation( d, gP, u, failure, xDF, xP )
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Inputs
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d (:) Detection filter
.g plant
.d gain matrix
.uMin input minimum
.uRange input range
.yMin output minimum
.yRange output range
.xMin state minimum
.xRange state range
.xS static valud
gP Plant
u Inputs
failure Failure data structure
.kSensorFailed (1,:)
.sensorBias (1,:)
.sensorNoise (1,:)
.kActuatorFailed (1,:)
.actuatorBias (1,:)
.actuatorNoise (1,:)
xDF State of the detection filter
xP State of the plant
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Outputs
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r Residuals
xDF State of the detection filter
xP State of the plant
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Children:
Estimation: FDIR/DetectionFilter