Journal of University of Science and Technology of China ›› 2020, Vol. 50 ›› Issue (12): 1472-1477.DOI: 10.3969/j.issn.0253-2778.2020.12.004

• Research Article • Previous Articles     Next Articles

A novel linear iteration method for M-matrix algebraic Riccati equations

  

  1. 1. Department of Mathematics, Taiyuan Normal University,Jinzhong 030619, China; 2. School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science,Shanghai 201620 China
  • Received:2020-10-10 Accepted:2020-11-24 Online:2020-12-30 Published:2021-03-04
  • Contact: Guan Jinrui ( corresponding author ) is now an associate professor at Departement of Mathematics, Taiyuan Normal University, China. He received his Ph. D. degree in computational mathematics at Xiamen University in 2016. His research interests focus on matrix theory and numerical linear algebra with applications.
  • Supported by:

    The work is supported by National Natural Science Foundation of China (12001363, 12001395), Natural Science Foundation of Shanxi province, China (201901D211423).

Abstract:

Numerical solutions of the M-matrix algebraic Riccati equation (MARE) were studied, which has become a hot topic in recent years due to its broad applications. A novel linear iteration method for computing the minimal nonnegative solution of MARE was proposed, in which only matrix multiplications are needed at each iteration. Convergence of the new method was proved by choosing proper parameters for the MARE associated with a nonsingular M-matrix or an irreducible singular M- matrix. Theoretical analysis and numerical experiments show that the new method is feasible and is effective than some existing methods under certain conditions.

Key words: algebraic Riccati equation, M-matrix, minimal nonnegative solution, Newton method, doubling algorithm

CLC Number: