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1)  linear-optimal criterion
线性最优准则
1.
The design that is subject to this criterion is satisfied with many kinds of linear-optimal criterion and D-optimal criterion.
提出一种新的最优设计准则─联合最优设计准则,满足这种准则的设计能同时较好地满足多种线性最优准则及D-最优准则,给出了这种最优设计的等价条件,构造它的数值算法及其收敛性证明。
2)  method of optical rule
最优性准则法
1.
A method to solve the non-convex programming, method of optical rule, is given out in this paper There are many advantages, such as fast in constringency speed and universal in application, to use this method in solving the structure of cross girder system.
给出了一种关于非凸规划问题的求解法—最优性准则法。
3)  criterion of D optimality
D最优性准则
4)  linear minimum variance optimal information fusion criterion
线性最小方差最优融合准则
1.
By the Kalman filtering method,under three different linear minimum variance optimal information fusion criterions,the two-sensor information fusion steady-state Kalman filters weighted by matrices,diagonal matrices,and scalars are presented,respectively.
用Kalman滤波方法,在三种不同的线性最小方差最优融合准则下分别提出两传感器按矩阵加权,按对角阵加权和按标量加权的信息融合稳态Kalman滤波器。
5)  linear minimum variance optimal weighted fusion criterion
线性最小方差最优加权融合准则
6)  A-op
A最优准则
补充资料:黎卡提方程(见线性二次型量优控制)


黎卡提方程(见线性二次型量优控制)
Riccati equation

L袱以}tongcheng黎卡提方程(Rieeati equation)次型最优控制。见线性二
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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