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In the thesis , firstly the problem of static output feedback H∞control was explored for discrete time singular systems. Based on the generalized Riccati inequality and linear matrix inequality, necessary and sufficient conditions were obtained for the existence of static output feedback H∞controllers, which guarantees that the resulting closed-loop system is admissible with its transfer function matrix satisfying H∞norm constraint.

本文首先利用线性矩阵不等式和广义Riccati不等式,给出离散广义系统中存在静态输出反馈H∞控制器,使得闭环系统是容许的且其传递函数矩阵满足H∞范数约束的充要条件。

The least norm solutions of symmetric and skew antisymmetric matrix equations (A~TXA, XA — YAD)=(D, 0)are also considered. 3. The least-squares solutions and the least norm solutions of the quaternion matrix equations AX = B and XD = E are studied by using

借助四元数的复表示方法,研究四元数矩阵方程组AX=B,XD=E的最小二乘问题和极小范数解的问题,并对主子阵约束下的方程组的解进行了讨论,得到了它们的显式表示。

In Chapter 3, the generalized skew-symmetric solutions of the matrix equation A~TXA = B on the linear manifold S ={X e GKSR~|||XY - Z}}= min, Y, Z∈ R~}, using the canonical correlation decomposition of a matrix pair, the necessary and sufficient conditions for the existence and the expressions for the generalized skew-symmetric solutions of matrix equation A~TXA — B on the linear manifold are established.

利用矩阵对的标准相关分解,给出了这类线性流形上矩阵方程A~TXA=B存在广义次对称解的充要条件及其通解表达式,并且导出了极小Frobenius范数广义次对称解的表达(来源:d7d7A7dBC论文网www.abclunwen.com)式。

In this paper, for m× n Loewner-type matrix or symmetric Loewner-type matrix with full column rank, we form special block matrix firstly and research their triangular factorization or of its inverse, and then get the fast algorithm of the minimal norm least squaresolution .

本文对于秩为n的m×n阶Loewner型或对称Loewner型矩阵L,通过构造特殊分块矩阵并研究其逆的三角分解或自身三角分解,进而得到了线性方程组Lx=b的极小范数最小二乘解快速算法,计算复杂度为O+O(n~2),而一般方法的计算复杂度为O(mn~2)+O(n~3)。

A new fast algorithm of the minimal norm least squares solution for the linear system whose coefficient matrix is an m×n Loewner-type matrix with full column rank is given by forming a special block matrix and researching its triangular factorization.

通过构造特殊分块矩阵及其三角分解给出了求秩为n的m×n阶Loewner型矩阵为系数阵的线性方程组极小范数最小二乘解的快速算法,该算法的计算复杂度为O+O(n2),而一般方法的计算复杂度为O(mn2)+O(n3)。

Fast algorithm of minimal norm least square solution for Cauchy linear system;2. For the m×n Cauchy-type matrix with full column rank,the fast algorithm of the minimal norm least square solution to the linear system Cx=b was obtained by construction of a special block matrix and study of the triangular decomposition.

对于秩为n的m×n阶Cauchy型矩阵C,通过构造特殊分块矩阵并研究其三角分解,进而得到了线性方程组C x=b的极小范数最小二乘解的快速算法,所需运算量为O+O(n2),而通常构造法方程组的方法所需运算量为O(m n2)+O(n3),用正交化法虽然避免了构造法方程组,但所需的运算量更大些。

Firstly, we apply block AOR method to find the least square solution of minimal norm to the rank deficient linear systems where A is a complex m*n matrix with rank k.

首先,我们把求解线性方程组的块加速超松弛迭代法应用于求解亏秩线性方程组的最小范数最小二乘解,其中线性方程组的系数矩阵A是秩为k的m*n复矩阵。

We construct a kind of special matrix function, which is used to characterize the minimization property of this iterative method, and prove that the approximate solution, generated by this iterative method, minimizes this kind of matrix function over a special affine subspace, which means that the Frobenius norm of the residual sequence is strictly monotone decreasing.

通过构造一类特殊的矩阵函数来刻画该迭代方法的极小化性质,并证明了由该迭代方法计算出来的逼近解,可使得这类矩阵函数在一个仿射子空间上达到极小,而且所得到的残差序列的Frobenius范数是严格单调递减的。

Let A be a nonsingular nth-order real matrix, then cond_p =||A||_p||A~(-1)||_p =1(p= 1,∞), if and only if A = cpσ, where c is a positive constant, p is a permutation matrix, or is a diagonal mat...

设A为n阶非异实矩阵,则矩阵A的求逆p-范数条件数等于1的充要条件为A=cpσ,其中c为正常数,σ是置换阵,其对角元都等于+1或-1。

Meanwhile, we also provide methods for computing the weighted polar decomposition, and study error bounds for the approximate generalized positive semidefinite polar factor and perturbation bounds for weighted polar decomposition in various norms.

针对这个新的矩阵分解,我们证明了其唯一性定理,给出了其唯一性条件,讨论了其极因子的最佳逼近性质;同时,我们还探讨了矩阵加权极分解的计算问题,研究了由迭代算法引起的极因子的误差界,极因子在各种范数下的各种形式的扰动界等。

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