idnlmodel - Superclass for nonlinear models

Specifies the names of individual input channels.
Default: {'u1';'u2';...;'uNu'}.

Assignable values:

• For single-output models, a string. For example, 'torque'.

• For multiple-output models, an nu-by-1 cell array. For example:
  {'thrust'; 'aileron deflection'}

Specifies the units of each input channel.
Default: ''.

Assignable values:

• For single-output models, a string. For example, 'm/s'.

• For multiple-output models, an nu-by-1 cell array.

Name of the model, specified as a string.

Noise variance (covariance matrix) of the model innovations e.
Assignable value is an ny-by-ny matrix.
Typically set automatically by the estimation algorithm.

Specifies the names of individual output channels.
Default: {'y1';'y2';...;'yNy'}.

Assignable values:

• For single-output models, a string. For example, 'torque'.

• For multiple-output models, an ny-by-1 cell array. For example:
  {'thrust'; 'aileron deflection'}

Specifies the units of each output channel.
Default: ''.

Assignable values:

• For single-output models, a string. For example, 'm/s'.

• For multiple-output models, an ny-by-1 cell array.

Unit of the sampling interval and time vector, specified as one of the following:

• 'nanoseconds'

• 'microseconds'

• 'milliseconds'

• 'seconds'

• 'minutes'

• 'hours'

• 'days'

• 'weeks'

• 'months'

• 'years'

Default: 'seconds'.

Independent variable for the inputs, outputs, and—when available—internal states, specified as a string.
Default: 't' (time).

Sampling interval with the unit specified by TimeUnit.
Default: 1.

Assignable values:

• For discrete-time models, positive scalar value of the sampling interval.

• For continuous-time models, 0(idnlgrey models only).