1) approach degree matrix
接近度矩阵
1.
The synthesis approach degreeof data from various sensors is measured by an approach degree matrix to assigned the weights of data measured in the fusion process reasonably,so that the final expression of the data fusion and estimation is obtained,thus the data fusion of multi-sensor is realized.
该方法将各传感器的测得数据视为一个模糊集合,利用模糊集合的最大、最小接近度对不同传感器测得数据间的接近程度进行量化处理,并通过接近度矩阵度量各传感器测得数据的综合接近程度,以合理地分配测得数据在融合过程中所占权重,得到数据融合估计的最终表达式,从而实现了多传感器数据的融合。
2) degree adjaceacy matrix
度接矩阵
3) Density matrix approach
密度矩阵近似
4) contactstiffness matrix
接触刚度矩阵
5) near-symmetric matrices
近似矩阵
6) Matrix approximation
矩阵逼近
1.
Based on matrix optimal approximation and weighted residuals theory, the matrix approximation and the extremal algorithm for resolving inverse problems of vibration engineering are integrated with least squares problem under definition of norms in this paper.
根据矩阵最佳逼近与加权残值理论 ,把求解振动反问题时所使用的矩阵逼近法和极值化算法统一为不同范数定义下的最小二乘问题 ,这对部分振频和 /或振型给定情况下振动反问题的求解提供了一个有效工具。
2.
From the eigenequation and the orthogonality conditions a best matrix approximation technique for updated analytical model based on test identified modal parameters is presented in this paper.
本文从特征方程和模态正交条件出发，给出了一种应用模态参数识别结果修正理论模型的最佳矩阵逼近方法。
3.
For uncertain continuous system and uncertain discrete-time system with input contraints,the optimization problem with given expectation value of performance index is discussed,which can be transformed into the problem of matrix approximation with matrix inequalities contraints.
针对不确定连续系统和具有控制约束的不确定离散系统,讨论了具有给定性能指标期望值的最优控制问题,这一问题可转变为具有矩阵不等式约束的矩阵逼近问题,而且进一步把解决具有矩阵不等式约束的矩阵逼近问题转变成具有线性矩阵不等式约束的广义特征值最小化问题,并结合算例说明通过LMI工具箱中的求解器可求出系统的最优解。
补充资料：接近
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