Explicit Iterative Algorithms for Continuous Coupled Lyapunov Matrix Equations

被引:10
|
作者
Sun, Hui-Jie [1 ]
Zhang, Ying [1 ]
Liu, Wanquan [2 ]
机构
[1] Harbin Inst Technol Shenzhen, Shenzhen 518055, Peoples R China
[2] Curtin Univ, Dept Comp, Perth, WA 6102, Australia
基金
中国国家自然科学基金;
关键词
Iterative methods; Convergence; Tuning; Symmetric matrices; Stability analysis; Standards; Mathematical model; Continuous-time Markovian jump systems; coupled Lyapunov matrix equations; explicit iterative algorithms; STABILITY;
D O I
10.1109/TAC.2019.2952557
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 article, two iterative algorithms are proposed to solve the coupled Lyapunov matrix equations associated with continuous-time Markovian jump linear systems. First, an explicit iterative algorithm is presented to solve the considered matrix equations via introducing a tuning parameter. A necessary and sufficient condition is established for the proposed algorithm to be convergent. Furthermore, the optimal value of the tuning parameter achieving the fastest convergence rate is given explicitly. Second, a modified version of the previous explicit algorithm is established by using a new information update scheme. Similarly, a necessary and sufficient condition is provided for the modified explicit iterative algorithm. Based on this convergence condition, some easily verifiable convergence results are further derived, and the optimal tuning parameter is given explicitly. Finally, two examples are presented to validate the obtained theoretical results.
引用
收藏
页码:3631 / 3638
页数:8
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