分析结果表明，最小方差准则是控制器的性能评价方面一个有效的和可行的基准。
The results reveal that minimum variance benchmark acts as an efficient and feasible measurement in controller performance assessment.
用最小方差准则来评价控制器的性能，仅需过程变量的常规闭环操作数据和过程的时间延迟特性。
It only needs routine closed-loop operating data and knowledge of the process time delay using minimum variance as a benchmark in controller performance assessment.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
提出一种新的标量加权多传感器线性最小方差意义下的最优信息融合准则。
A new multi-sensor optimal information fusion criterion weighted by scalars is presented in the linear minimum variance sense.
提出一种新的标量加权多传感器线性最小方差意义下的最优信息融合准则。
A new multi-sensor optimal information fusion criterion weighted by scalars is presented in the linear minimum variance sense.
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