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1)  weighting function matrix selection
加权阵选择
2)  weight matrix selecting
权阵选择
1.
Meanwhile, in order to solve the weight matrix selecting problem which is a difficult problem in Riccati-controller’s design, a new parameter-selecting method was introduced.
针对这个问题,提出了一种有效的权阵选择方法,避免了试凑等传统方法带来的误差和工作量。
3)  Weight selection
加权阵选取
4)  choosing weighting
加权函数的选择
1.
The one main content of this thesis is to propose a new method to design H∞loop shaping robust controller by choosing weighting function, and the second content is to discuss the relation of weighting functions between H∞loop shaping controller andμloop shaping controller, which is based on structured singularμand loop shaping.
回路成形的控制原理主要是在系统稳定和性能之间做出取舍,而通过加权函数的选择能使系统符合我们所要的性能需求,所以在H∞回路成形法的框架下,我们针对MIMO系统提出一种选择加权函数的新方法来设计H∞回路成形控制器,并把利用新方法的设计结果与文献的结果作比较。
5)  position selection
阵地选择
1.
According to the characteristics of radar EW position selection,the paper establishes an evaluation index system and presents a scenario decision-making model of radar EW position selection.
文中针对雷达对抗阵地选择的特点,在建立雷达对抗阵地选择评价指标体系的基础上,提出了基于灰色层次分析的雷达对抗阵地选择方案决策模型。
2.
Selecting the ground to air missile position is the indispensable process and important matter of ground to air missile troop operation command decision,the position selection affects missiles performance and air defence accomplishment.
选择地空导弹阵地是地空导弹部队作战指挥决策的必要环节和重要内容,阵地选择的好坏直接影响到导弹性能的发挥和防空任务的实现。
3.
In order to accomplish strength maneuver,the selection of position selection becomes a key link.
为实现机动作战,阵地选择就成为机动作战中的重要环节。
6)  selection matrix
选择矩阵
1.
The selection matrix is constructed and the controllability of the selection process is proven.
分析了供应商选择与评价过程的两个基本阶段 :静态评价和动态评价 ,提出了基于群决策的供应链伙伴选择与评价方法 ,构造了选择矩阵 ,证明了选择过程的可控性 ,举例说明了问题的求解过程 ,结果证明了方法的有效
2.
On the basis of the analyzing the multi-objective evaluation decision,combining the characteristics of fuzzy comprehensive evaluation,one kind of algorithms of fuzzy selection evaluation is given through constructing the selection matrix.
通过对多目标评判决策的分析,结合模糊评价方法的特点通过构造选择矩阵的方法,给出了一种比较好的模糊综合评价的选择决策算法,通过实际案例验证了该方法的有效性和独特性。
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