Description Usage Arguments Value
Kalmanfilter general
1 | kalmanfilter(x, P, z, u, A, B, H, Q, R)
|
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 |
the list of two value; optimal estimate for x and P
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