# Input-Output Polynomial Models

Input-output polynomial models, including ARX, ARMAX, output-error, and Box-Jenkins model structures

A polynomial model uses a generalized notion of transfer functions to express the relationship between the input, u(t), the output y(t), and the noise e(t) using an equation of the form:

$A\left(q\right)y\left(t\right)=\frac{B\left(q\right)}{F\left(q\right)}u\left(t-nk\right)+\frac{C\left(q\right)}{D\left(q\right)}e\left(t\right).$

A(q), B(q), F(q), C(q) and D(q) are polynomial matrices in terms of the time-shift operator q-1. u(t) is the input, and nk is the input delay. y(t) is the output and e(t) is the disturbance signal.

Each polynomial has an independent order, or number of estimable coefficients. For example, if A(q) has an order of 2, then the A polynomial has the form A(q) = 1 + a1q-1 + a2q-2.

In practice, not all the polynomials are simultaneously active. Simpler polynomial forms, such as ARX, ARMAX, Output-Error, and Box-Jenkins provide model structures suitable for specific objectives such as handling nonstationary disturbances or providing completely independent parameterization for dynamics and noise. For more information about these model types, see What Are Polynomial Models?

## Apps

 System Identification Identify models of dynamic systems from measured data

## Funktionen

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 idpoly Polynomial model with identifiable parameters arx Estimate parameters of ARX, ARIX, AR, or ARI model armax Estimate parameters of ARMAX, ARIMAX, ARMA, or ARIMA model using time-domain data bj Estimate Box-Jenkins polynomial model using time-domain data iv4 ARX model estimation using four-stage instrumental variable method ivx ARX model estimation using instrumental variable method with arbitrary instruments oe Estimate output-error polynomial model using time-domain or frequency-domain data polyest Estimate polynomial model using time- or frequency-domain data pem Prediction error minimization for refining linear and nonlinear models
 arxstruc Compute loss functions for single-output ARX models ivstruc Compute loss functions for sets of ARX model structures using instrumental variable method selstruc Select model order for single-output ARX models struc Generate model-order combinations for single-output ARX model estimation
 arxRegul Determine regularization constants for ARX model estimation delayest Estimate time delay (dead time) from data init Set or randomize initial parameter values
 polydata Access polynomial coefficients and uncertainties of identified model getpvec Obtain model parameters and associated uncertainty data setpvec Modify values of model parameters getpar Obtain attributes such as values and bounds of linear model parameters setpar Set attributes such as values and bounds of linear model parameters setPolyFormat Specify format for B and F polynomials of multi-input polynomial model
 armaxOptions Option set for armax arxOptions Option set for arx arxRegulOptions Option set for arxRegul bjOptions Option set for bj iv4Options Option set for iv4 oeOptions Option set for oe polyestOptions Option set for polyest