By optimizing the probabilistic weighted synthesised linear quadratic performances for different states of parametric uncertainties, the unity design in the parameter space is achieved.
通过对系统的不同参数摄动状态进行概率加权综合二次型指标寻优，实现了整个参数域的一体化设计。
2
This paper gives a necessary condition for the admissibility of a nonnegative, quadratic estimator for error variance in linear model with respect to restricted ellipsoidal parameter space.
本文给出了线性模型中椭球约束下，误差方差非负二次估计可容许的一个必要条件。
3
We present an algorithm which will solve this problem in quadratic time and in linear space.