idnlhw/operspec

Construct operating point specification object for idnlhw model

Syntax

spec = operspec(nlsys)

Description

spec = operspec(nlsys) creates a default operating point specification object for the idnlhw model nlsys. This object is used with findop and specifies constraints on the model input and output signal values. Modify the default specifications using dot notation.

Input Arguments

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`nlsys` — Nonlinear Hammerstein-Wiener model
`idnlhw` object

Nonlinear Hammerstein-Wiener model, specified as an idnlhw object.

Output Arguments

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`spec` — Operating point specification
operating point specification object

Operating point specification, used to determine an operating point of the idnlhw model using findop, returned as an object containing the following:

Input — Structure with fields:

Field	Description	Default for Each Input
`Value`	Initial guesses or fixed levels for the values of the model inputs, specified as a vector with length equal to the number of input signals.	`0`
`Min`	Minimum value constraints on the model inputs, specified as a vector with length equal to the number of input signals.	`-Inf`
`Max`	Maximum value constraints on the model inputs, specified as a vector with length equal to the number of input signals.	`Inf`
`Known`	Known value indicator, specified as a logical vector with length equal to the number of input signals and with the following values: `true` — `findop` will set the corresponding input signal to `Value`. `false` — `findop` will estimate the corresponding input signal using `Value` as an initial guess.	`true`

Output — Structure with fields:

Field	Description	Default for Each Input
`Value`	Target values the model outputs, specified as a vector with length equal to the number of output signals.	`0`
`Min`	Minimum value constraints on the model outputs, specified as a vector with length equal to the number of output signals.	`-Inf`
`Max`	Maximum value constraints on the model outputs, specified as a vector with length equal to the number of output signals.	`Inf`
`Known`	Known value indicator, specified as a logical vector with length equal to the number of output signals and with the following values: `true` — `findop` will use `Value` as an estimation target for the corresponding output. `false` — `findop` will keep the corresponding output within the constraints specified by `Min` and `Max`.	`false`

Note

If Input.Known is true for all model inputs, then the initial state values are determined using the input specifications only. In this case, findop ignores the specifications in the Output structure.
Otherwise, findop uses the output specifications to meet the objectives indicated by Output.Known.