求解耦合sylvester -共轭矩阵方程的一种新的迭代方法及其在反线性系统中的应用

Wenli Wang, Caiqin Song
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引用次数: 1

摘要

基于层次辨识原理,构造了一种改进的基于松弛梯度的迭代(MRGI)算法来求解耦合sylvester -共轭矩阵方程。收敛性分析表明,该算法对任意初始矩阵都是有效的。进一步,我们应用MRGI算法研究了一类更一般的耦合Sylvester共轭矩阵方程,并给出了迭代解收敛于精确解的充分条件。通过两个数值实验证明,MRGI算法比Wu et al.(2010)和Huang and Ma(2018)提出的现有三种算法具有更高的效率和精度。最后,给出了MRGI算法在离散时间非线性系统中的一个应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A NOVEL ITERATIVE METHOD FOR SOLVING THE COUPLED SYLVESTER-CONJUGATE MATRIX EQUATIONS AND ITS APPLICATION IN ANTILINEAR SYSTEM
This paper is devoted to constructing a modified relaxed gradient based iterative (MRGI) algorithm to solve the coupled Sylvester-conjugate matrix equations (CSCMEs) based on the hierarchical identification principle. Convergence analysis shows that the proposed algorithm is effective for arbitrary initial matrices. Further, we apply the MRGI algorithm to study a more general coupled Sylvester conjugate matrix equations and give a sufficient condition to guarantee that the iterative solution converges to the exact solution. Two numerical experiments are provided to demonstrate that the MRGI al-gorithm has better efficiency and accuracy than the three existing algorithms, which are presented by Wu et al. (2010) and Huang and Ma (2018). Finally, we derive an application of MRGI algorithm in discrete-time antilinear system.
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