离散耦合Riccati矩阵方程的无反演牛顿迭代法
Newton Iteration Method without Inversion for Discrete Coupled Riccati Matrix Equations
摘要: 本文研究了离散耦合Riccati矩阵方程的求解问题。我们利用矩阵反演等式得到离散耦合Riccati矩阵方程的等价形式,并通过牛顿求根方法构造无反演的迭代算法求解离散耦合Riccati矩阵方程。此外我们证明了无反演牛顿迭代算法的收敛性。最后,利用数值例子来验证提出的理论结果。
Abstract: In this paper, the discrete coupled Riccati matrix equation is considered. We obtain the equivalent form of the discrete coupled Riccati matrix equation by using the matrix inversion equation. And an iterative algorithm without inversion is constructed to solve the discrete coupled Riccati matrix equation by Newton’s method of finding roots. In addition, we prove the convergence of Newtonian iterative algorithm without inversion. Finally, a numerical example demonstrates the theoretical results.
文章引用:庄柔柔. 离散耦合Riccati矩阵方程的无反演牛顿迭代法[J]. 应用数学进展, 2025, 14(4): 342-354. https://doi.org/10.12677/aam.2025.144167

参考文献

[1] Shang, Y., Liu, K., Cui, N., Wang, N., Li, K. and Zhang, C. (2020) A Compact Resonant Switched-Capacitor Heater for Lithium-Ion Battery Self-Heating at Low Temperatures. IEEE Transactions on Power Electronics, 35, 7134-7144. [Google Scholar] [CrossRef
[2] Liu, K., Hu, X., Wei, Z., Li, Y. and Jiang, Y. (2019) Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries. IEEE Transactions on Transportation Electrification, 5, 1225-1236. [Google Scholar] [CrossRef
[3] Costa, O.L.V. (1995) Discrete-Time Coupled Riccati Equations for Systems with Markov Switching Parameters. Journal of Mathematical Analysis and Applications, 194, 197-216. [Google Scholar] [CrossRef
[4] Erfanifar, R., Sayevand, K. and Hajarian, M. (2022) Convergence Analysis of Newton Method without Inversion for Solving Discrete Algebraic Riccati Equations. Journal of the Franklin Institute, 359, 7540-7561. [Google Scholar] [CrossRef
[5] Liu, J. and Zhang, J. (2011) The Existence Uniqueness and the Fixed Iterative Algorithm of the Solution for the Discrete Coupled Algebraic Riccati Equation. International Journal of Control, 84, 1430-1441. [Google Scholar] [CrossRef
[6] Ai-Guo Wu, and Guang-Ren Duan, (2015) New Iterative Algorithms for Solving Coupled Markovian Jump Lyapunov Equations. IEEE Transactions on Automatic Control, 60, 289-294. [Google Scholar] [CrossRef
[7] Zhang, J. and Li, S. (2020) The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation. International Journal of Control, Automation and Systems, 18, 1641-1650. [Google Scholar] [CrossRef
[8] Li, W. and Li, Z. (2010) A Family of Iterative Methods for Computing the Approximate Inverse of a Square Matrix and Inner Inverse of a Non-Square Matrix. Applied Mathematics and Computation, 215, 3433-3442. [Google Scholar] [CrossRef
[9] Kailath, T. (1980) Linear Systems (Vol. 156). Prentice-Hall.
[10] Horn, R.A. and Johnson, C.R. (2012) Matrix Analysis. 2nd Edition, Cambridge University Press. [Google Scholar] [CrossRef
[11] Zhan, X. (1996) Computing the Extremal Positive Definite Solutions of a Matrix Equation. SIAM Journal on Scientific Computing, 17, 1167-1174. [Google Scholar] [CrossRef