sigma.weights: Create the sigma nodes and weights for the unscented Kalman...
In squipbar/filters: A package to compute (nonlinear) filters
Description
Usage
Arguments
Value
Description
Create the sigma nodes and weights for the unscented Kalman Filter
Usage
1
sigma.weights(m, P, n, alpha = 0.001, kappa = 0, betta = 2)
Arguments
m
The input mean
P
The input covariance
n
The dimension of the problem
alpha
Scaling parameter
kappa
Scaling parameter
betta
Scaling parameter
Value
A list containing: matirix of weights W in two rows, W^m and W^c; and
the matrix of nodes X, where X(i) is in column i
squipbar/filters documentation built on May 30, 2019, 8:41 a.m.
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Description Usage Arguments Value
Description
Create the sigma nodes and weights for the unscented Kalman Filter
Usage
1 | sigma.weights(m, P, n, alpha = 0.001, kappa = 0, betta = 2)
|
Arguments
m |
The input mean |
P |
The input covariance |
n |
The dimension of the problem |
alpha |
Scaling parameter |
kappa |
Scaling parameter |
betta |
Scaling parameter |
Value
A list containing: matirix of weights W in two rows, W^m and W^c; and the matrix of nodes X, where X(i) is in column i
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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