本文提出了一种全新的双线性模型参数递推估计算法。

A new recursive least-squares algorithm is proposed for estimating parameters of the bilin-ear model.

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针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。

This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).

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因此，静态滤波和推估是非线性滤波公式的一种特殊情况。

Meanwhile, it is been testified that the formula of static filtering and prediction is a special case of nonlinear filtering formulas.

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