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。
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ARMAX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。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
应用推荐