ukf.predict: Predict the state for the unscented Kalman Filter
In squipbar/filters: A package to compute (nonlinear) filters
Description
Usage
Arguments
Value
Description
Predict the state for the unscented Kalman Filter
Usage
1
2
ukf.predict(m, P, f, Q, n = length(m), alpha = 0.001, kappa = 0,
betta = 2)
Arguments
m
The previous mean
P
The previous covariance
f
The law of motion for the state
Q
The state covariance
n
The dimension of the problem
Value
The mean and covariance of the predicted state
squipbar/filters documentation built on May 30, 2019, 8:41 a.m.
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Description Usage Arguments Value
Description
Predict the state for the unscented Kalman Filter
Usage
1 2 | ukf.predict(m, P, f, Q, n = length(m), alpha = 0.001, kappa = 0,
betta = 2)
|
Arguments
m |
The previous mean |
P |
The previous covariance |
f |
The law of motion for the state |
Q |
The state covariance |
n |
The dimension of the problem |
Value
The mean and covariance of the predicted state
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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