The building of discrete state-space models including system noise provides a basis for the exact identification and effective control.
这种包含系统噪声的离散状态空间模型的建立，为网络化控制系统的准确辨识和有效控制奠定了基础。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
Discrete optimal control algorithm can be designed based on the augmented state system.
则离散时滞最优控制律可以针对增广的系统进行设计。
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