利用广义逆理论和奇异值分解理论，研究离散型线性随机系统的综合控制设计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
本文讨论了奇异线性定常连续随机系统最小阶滤波器的设计问题。
In this paper, formulas are derived for the minimal order filter in a singular, linear time-invariant, continuous and stochastic system.
对于带多传感器的广义线性离散随机系统，基于奇异值分解，将其化为等价的两个降阶多传感器子系统。
For the linear discrete stochastic descriptor systems with multisensor, based on the singular value decomposition, the equivalent two reduced order multisensor subsystems are obtained.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
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