In this paper, based on output residuals, an efficient adaptive state estimation approach is presented for linear time-invariant discrete system.

本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法。

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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。

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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。

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