The optimal control problem for the discrete time stochastic singular systems with linear quadratic cost functional is discussed.
讨论广义离散随机线性系统在二次型性能指标下的最优控制问题。
In this paper, the state estimation problem for the singular discrete stochastic linear systems is dia-cussed.
本文讨论了广义离散随机线性系统的状态估计问题。
For the linear discrete stochastic descriptor systems with multisensor, based on the singular value decomposition, the equivalent two reduced order multisensor subsystems are obtained.
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。
Multi-sensor information fusion state estimation problem for descriptor discrete-time stochastic linear systems is studied.
研究了广义离散随机线性系统的多传感器信息融合状态估计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
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。
The problem of multi-sensor information fusion state estimation for descriptor discrete-time stochastic linear systems is considered.
考虑了广义离散随机线性系统的多传感器信息融合状态估计问题。
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。
This paper presents new development of parameter identification for MIMO discrete stochastic linear systems with random parameters based on the least squares method.
本文讨论了参数估计和输出误差的收敛性，并给出了系统持续激励的一个充分条件。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
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