Structured Doubling Algorithm for a Class of Large-Scale Discrete-Time Algebraic Riccati Equations with High-Ranked Constant Term

被引:0
作者
Yu, Bo [1 ]
Jiang, Chengxu [1 ]
Dong, Ning [1 ]
机构
[1] Hunan Univ Technol, Sch Sci, Zhuzhou, Peoples R China
关键词
discrete-time algebraic Riccati equation; doubling algorithm; low-ranked matrix; high-ranked constant term; CONVERGENCE; MODELS;
D O I
10.3390/fractalfract7020193
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Consider the computation of the solution for a class of discrete-time algebraic Riccati equations (DAREs) with the low-ranked coefficient matrix G and the high-ranked constant matrix H. A structured doubling algorithm is proposed for large-scale problems when A is of lowrank. Compared to the existing doubling algorithm of O(2(k)n) flops at the k-th iteration, the newly developed version merely needs O(n) flops for preprocessing and O((k+1)(3)m(3)) flopsfor iterations and is more proper for large-scale computations when mMUCH LESS-THANn. The convergence and complexity of the algorithm are subsequently analyzed. Illustrative numerical experiments indicate that the presented algorithm, which consists of a dominant time-consuming preprocessing step and a trivially iterative step, is capable of computing the solution efficiently for large-scale DAREs.
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页数:12
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