data2state
Map past data to states of state-space and nonlinear ARX models
Description
maps
the past data to the states of a state-space or a nonlinear ARX model X
= data2state(sys
,PastData
)sys
. X
contains
the state values at the time instant immediately after the most recent
data sample in PastData
. The software computes
the state estimates by minimizing the 1-step ahead prediction error
between predicted response and output signal in PastData
.
data2state
is useful for continued model
simulation. That is, suppose you have simulated a model up to a certain
time instant and would like to then simulate the model for future
inputs. Use data2state
to estimate states of
the model at the beginning of the second simulation.
Examples
Input Arguments
Output Arguments
Version History
Introduced in R2008a
See Also
idnlarx/findop
| findstates
| getDelayInfo
| sim
| order