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。
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。
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 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。
In the Linear stochastic systems with uncertainties, designing a satisfactory State-estimation is of practical significance in the field of engineering.
在随机线性不确定系统中，设计一个满意的状态估计器在工程中有很大的实际意义。
In this paper, the robust exponential stability in mean square for a class of linear stochastic uncertain control systems is dealt with.
本文中讨论了一类具有不确定性的线性随机控制系统的均方指数稳定性问题。
For a class of stochastic nonlinear systems satisfying linear growth condition, the paper studies the output feedback stabilization problem.
针对满足线性增长条件的一类随机非线性系统，本文研究了输出反馈镇定问题。
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。
A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.
针对线性随机系统提出了一种改进强跟踪卡尔曼滤波器(MSTKF)。
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 considers a linear optimal estimation problem for a stochastic process viewed as the output signal of the time delay stochastic systems driven by a white noise input.
本文研究在白噪声输入情况下，时滞系统随机输出信号的线性滤波估计问题。
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。
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。
A linear quadratic Gaussian (LQG) stochastic optimal control was developed for networked control systems with network-induced delays longer than a sampling period using a time-division control mode.
对于网络诱发延迟大于一个采样周期的网络化控制系统，该文研究了该系统的线性二次Gauss (LQG)随机最优控制问题，提出了一种新的分时控制模式。
The results obtained in this paper are very important for the further studies on the state estimation and optimal control of 2-D linear systems with stochastic input.
这些结果对进一步展开对随机2-D系统的状态估计，最优控制和其它方面的研究都具有重要意义。
By using the techniques of the matrix decomposition and the system transformation, the set-valued filtering for stochastic singular linear systems is also designed.
利用矩阵分解和系统变换的技巧，得到广义随机系统的集值滤波方程。
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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