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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Based on the ARMAX model, a simple way of accuracy test is given with the residual errors and its zeros and poles.
采用ARMAX模型进行火控系统动态精度的简易测试，动态建模后经过残差检验、零极点分析等，为精度试验分析提供了一种简单方法。
ARMAX model method and subspace-based state space method were used to process the flight flutter test data, and identify the flutter modal parameters of aircraft.
论文使用了现代参数辨识技术的AR MAX模型递推法和状态子空间辨识法，对飞行颤振试验数据进行处理，辨识飞机的颤振模态参数。
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
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。
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