A RELAXED GRADIENT BASED ALGORITHM FOR SOLVING EXTENDED SYLVESTER-CONJUGATE MATRIX EQUATIONS

被引：18

作者：

Ramadan, Mohamed A. ^{[1
]}

El-Danaf, Talaat S. ^{[1
]}

Bayoumi, Ahmed M. E. ^{[2
]}

机构：

[1] Menoufia Univ, Dept Math, Fac Sci, Shibin Al Kawm, Egypt

[2] Ain Shams Univ, Fac Educ, Dept Math, Cairo, Egypt

来源：

ASIAN JOURNAL OF CONTROL | 2014年 / 16卷 / 05期

关键词：

Sylvester equations; Frobenius norm; relaxation parameters; GENERALIZED REFLEXIVE SOLUTIONS; LEAST-SQUARES IDENTIFICATION; FINITE ITERATIVE ALGORITHMS; MULTIVARIABLE SYSTEMS; COMPLEX MATRICES; CONSIMILARITY; AXB=C;

D O I：

10.1002/asjc.805

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a relaxed gradient based algorithm for solving extended Sylvester-conjugate matrix equations by considering a relaxation parameter is proposed. The convergence analysis of the algorithm is investigated. Theoretical analysis shows that the new method converges under certain assumptions. A numerical example is given to illustrate effectiveness of the proposed method and to test its efficiency compared with an existing one.

引用

页码：1334 / 1341

页数：8

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