| Model Predictive Control Toolbox | |
Writes input and output data matrices for a multi-input single-output system such that they can be used in regression routines mlr and pls for determining impulse response coefficients.
Syntax
Description
x is the input data of dimension N by nu where N is number of data points and nu is number of inputs. y is the output of dimension N by 1. n is number of impulse response coefficients for all inputs. x is rearranged to produce xreg of dimension (N - n - 1) by n * nu while yreg is produced by deleting the first n rows of y. This operation is illustrated as follows:
A single sampling delay is assumed for all inputs. y must be a column vector, i.e., only one output can be specified.
Example
See mlr and plsr for examples of the use of this function.
| validmod |
