Autoregressive exogenous model

Autoregressive Exogenous Model (ARX) This is a simplified version of the ARMAX model, wherein it is assumed that C(z ) can be ignored. This gives a model of the form ... 

In practice, this method is sufficient to obtain an accurate model of the system. 2. Autoregressive Moving Average Exogenous Model (ARMAX) In this model, the Z)(z ) and F(z ) polynomials are ignored, which gives... 

AutoRegressive Moving Average model with eXogenous inputs (ARMAX). If the same denominator is used for G and H... 

AutoRegressive model with eXogenous inputs (ARX). A special case of ARMAX is obtained by letting C q) = 1 ric = 0). 

Ohtsuka, T., and Kasuya, H. An improved speech analysis-s mthesis algorithm based on the autoregressive with exogenous input speech production model. Irt Proceedings of the International Conference on Speech and Language Processing 2000 (2000). 

Non-linear AutoRegressive with exogenous inputs (NARX) models which use Uf.k andj) as regressors... 

Non-linear AutoRegressive Moving Average with exogenous inputs (NARMAX) models... 

Takagi-Sugeno models are particularly suited to model dynamic systems (de Bruin and Rof-fel, 1996). The most common structure is the NARX (Non-linear autoregressive with exogenous input) model, which can represent a large class of discrete time nonlinear systems. 

Other common models are the nonlinear output error model (NOE) and the nonlinear moving average autoregressive with exogenous input model (NARMAX). 

For linear (stationary) dynamic systems, the discrete-time parametric model takes the form of the autoregressive moving average equation with an exogenous variable (ARMAX) ... 

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