用矩阵的奇异值分解和广义逆讨论标准线性规划问题解的存在性和唯一性问题。
Apply singular value decomposition and generalize inverse of the matrix to discuss the existence and uniqueness of the solution of the standard linear programming problem.
并利用奇异值分解方法和模矩阵的性质，给出了使不确定广义系统鲁棒稳定的一个鲁棒界。
A robust stability boundary of uncertain singular systems is proposed by utilizing singular value decomposition and the character of mode matrix.
对于带多传感器的广义线性离散随机系统，基于奇异值分解，将其化为等价的两个降阶多传感器子系统。
For the linear discrete stochastic descriptor systems with multisensor, based on the singular value decomposition, the equivalent two reduced order multisensor subsystems are obtained.
利用广义逆理论和奇异值分解理论，研究离散型线性随机系统的综合控制设计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
理论分析表明，对广义分数低阶空时矩阵进行奇异值分解可获得噪声子空间估计。
Theoretical analysis shows that the matrix FSTM can be used to obtain the estimation of noise subspace.
理论分析表明，对广义分数低阶空时矩阵进行奇异值分解可获得噪声子空间估计。
Theoretical analysis shows that the matrix FSTM can be used to obtain the estimation of noise subspace.
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