kalmanfilter: Kalmanfilter general
In issactoast/ikhyd: "I Know How you Drive - Analysis Tools for Telematics Data"
Description
Usage
Arguments
Value
Description
Kalmanfilter general
Usage
1
kalmanfilter(x, P, z, u, A, B, H, Q, R)
Arguments
x
observation from sensor 1
P
variance of observation from sensor 1 at the previous time step
z
observation from sensor 2
u
control vector
A
scale constant related to x
B
scale constant related to u
H
scale constant between sensor 1 and 2
Q
noise of the observation from sensor 1
R
noise of the observation from sensor 2
Value
the list of two value; optimal estimate for x and P
issactoast/ikhyd documentation built on March 5, 2021, 10:24 p.m.
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Description Usage Arguments Value
Description
Kalmanfilter general
Usage
1 | kalmanfilter(x, P, z, u, A, B, H, Q, R)
|
Arguments
x |
observation from sensor 1 |
P |
variance of observation from sensor 1 at the previous time step |
z |
observation from sensor 2 |
u |
control vector |
A |
scale constant related to x |
B |
scale constant related to u |
H |
scale constant between sensor 1 and 2 |
Q |
noise of the observation from sensor 1 |
R |
noise of the observation from sensor 2 |
Value
the list of two value; optimal estimate for x and P
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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