Inheritance properties of Krylov subspace methods for continuous-time algebraic Riccati equations

被引:4
|
作者
Zhang, Liping [1 ]
Fan, Hung-Yuan [2 ]
Chu, Eric King-wah [3 ]
机构
[1] Zhejiang Univ Technol, Dept Math, Hangzhou 310023, Peoples R China
[2] Natl Taiwan Normal Univ, Dept Math, Taipei 116, Taiwan
[3] Monash Univ, Sch Math, 9 Rainforest Walk, Clayton, Vic 3800, Australia
关键词
Continuous-time algebraic Riccati equation; Krylov subspace; LQR optimal control; Projection method; RATIONAL KRYLOV; ITERATION METHOD; ADI METHODS; ALGORITHM; LYAPUNOV; MATRIX; COMPUTATION; DISTANCE; BOUNDS;
D O I
10.1016/j.cam.2019.112685
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate the theory behind the Krylov subspace methods for large-scale continuous-time algebraic Riccati equations. We show that the solvability of the projected algebraic Riccati equation need not be assumed but can be inherited. This study of inheritance properties is the first of its kind. We study the stabilizability and detectability of the control system, the stability of the associated Hamiltonian matrix and perturbation in terms of residuals. Special attention is paid to the stabilizing and positive semi-definite properties of approximate solutions. Illustrative numerical examples for the inheritance properties are presented. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:13
相关论文
共 47 条
  • [41] Towards Higher-Order Zeroing Neural Network Dynamics for Solving Time-Varying Algebraic Riccati Equations
    Jerbi, Houssem
    Alharbi, Hadeel
    Omri, Mohamed
    Ladhar, Lotfi
    Simos, Theodore E.
    Mourtas, Spyridon D.
    Katsikis, Vasilios N.
    MATHEMATICS, 2022, 10 (23)
  • [42] Nuclear norm-based recursive subspace prediction of time-varying continuous-time stochastic systems via distribution theory
    Yu, Miao
    Liu, Jian Chang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (17): : 8830 - 8856
  • [43] Continuous-Time Penalty Methods for Nash Equilibrium Seeking of a Nonsmooth Generalized Noncooperative Game
    Sun, Chao
    Hu, Guoqiang
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (10) : 4895 - 4902
  • [44] Tightening Methods for Continuous-Time Mixed-Integer Programming Models for Chemical Production Scheduling
    Merchan, Andres F.
    Velez, Sara
    Maravelias, Christos T.
    AICHE JOURNAL, 2013, 59 (12) : 4461 - 4467
  • [45] Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control
    Bonalli, Riccardo
    Lew, Thomas
    Pavone, Marco
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (08) : 4570 - 4585
  • [46] BOUNDS ON SOLUTIONS TO H-INFINITY ALGEBRAIC RICCATI-EQUATIONS AND H2 PROPERTIES OF H-INFINITY CENTRAL SOLUTIONS
    ROTEA, MA
    FRAZHO, AE
    SYSTEMS & CONTROL LETTERS, 1992, 19 (05) : 341 - 352
  • [47] On the use of the root locus of polynomials with complex coefficients for estimating the basin of attraction for the continuous-time Newton and Householder methods
    Menini, Laura
    Possieri, Corrado
    Tornambe, Antonio
    AUTOMATICA, 2024, 163