Iterative method to the coupled operator matrix equations with sub-matrix constraint and its application in control

被引:4
作者
Song, Caiqin [1 ,2 ]
机构
[1] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China
[2] Univ Nevada, Dept Math & Stat, Reno, NV 89557 USA
关键词
Operator matrix equation; linear operator; least-norm solution; optimal approximation solution; ANTI-REFLEXIVE SOLUTIONS; LEAST-SQUARES SOLUTIONS; SYMMETRIC-SOLUTIONS; ALGORITHM; AXB; PAIR;
D O I
10.1177/0142331220947560
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A finite iterative algorithm is presented for solving the numerical solutions to the coupled operator matrix equations in Zhang (2017b). In this paper, a new finite iterative algorithm is presented for solving the constraint solutions to the coupled operator matrix equations [Sigma(p)(i=1) A(1i)(X-i), Sigma(p)(i=1) A(2i)(X-i), ... , Sigma(p)(i=1) A(pi)(X-i)] = [M-1, M-2, ... , M-p], where the constraint solutions include symmetric solutions, bisymmetric solutions and reflexive solutions as special cases. If this system is consistent, for any initial constraint matrices, the exact constraint solutions can be obtained by the introduced algorithm within finite iterative steps in the absence of the roundoff errors. Also, if this system is not consistent, the least-norm constraint solutions can be obtained within the finite iteration steps in the absence of the roundoff errors. Furthermore, if a group of suitable matrices are given, the optimal approximation solutions can be derived. Finally, several numerical examples are given to show the effectiveness of the presented iterative algorithm.
引用
收藏
页码:597 / 611
页数:15
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