outputValue

Method of mss.

Evaluate the output equation at a given state and input.

Source: src/model/@mss/outputValue.m

Syntax

y = outputValue(sys, stateVector, inputVector)
y = sys.outputValue(x, u)

Description

outputValue is the output-equation counterpart of functionValue. It evaluates

$y = \Phi_G\, m(x,u),$

with $m$ the norm-1 monomial vector over $v=[x;\,u]$ and $\Phi_G$ the output-equation block of the parameter matrix. Only the rows outputEquationIndex and the monomial columns that block uses (columnIndexOutputEq) are evaluated.

The two evaluation paths mirror functionValue:

CPNTensor — the unified value primitive computeFunctionValue, sliced to the output rows and columns.
Any other mtiTensor, e.g. TTTensor — the tensor’s own computeOutputValueMss.

The value is the same whether the model is continuous or discrete: the output equation is static, so timeStepSize does not enter.

As in functionValue, the CPN path assembles the signal vector by scattering $x$ and $u$ through stateIndex and inputIndex, so a permuted structure-matrix row layout is evaluated correctly.

msim uses this equation to produce its third output argument, though for a CPNTensor model it compiles the block once itself rather than calling this method per time point.

Input arguments

Argument	Description
`sys`	The `mss` model.
`stateVector`	State $x$ at the evaluation point (`sys.nState` × 1).
`inputVector`	Input $u$ at the evaluation point (`sys.nInput` × 1; `[]` if the model has no inputs).

Output arguments

Output	Description
`outputValues`	`sys.nOutput` × 1 output vector $y$ .

Example