针对受控ARMA模型(CARMA),或称为带外加输入自回归滑动平均模型(ARMAX),提出了一种最小二乘迭代两步辨识算法,解决了CARMA模型的递推算法精度低等问题.
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This paper deals with the problem of identifying ARMAX model using homotopy approach.
论述了采用同伦法辨识armax模型的问题。
An approximate maximum likelihood method is adopted for estimating ARMAX model parameters.
本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。
The residual calculation shows that ARMAX model is reliable, and the identified result is correct.
残差计算表明，离散模型是可靠的，辨识结果正确。
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