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A new BCR method for coupled operator equations with submatrix constraint. (English) Zbl 07924036

Summary: In the present work, a new biconjugate residual (BCR) algorithm is proposed in order to compute the constraint solution of the coupled operator equations, in which the constraint solution include symmetric solution, reflective solution, centrosymmetric solution and anti-centrosymmetric solution as special cases. When the studied coupled operator equations are consistent, it is proved that constraint solutions can be convergent to the exact solutions if giving any initial complex matrices or real matrices. In addition, when the studied coupled operator equations are not consistent, the least norm constraint solutions above can also be computed by selecting any initial matrices. Finally, some numerical examples are provided for illustrating the effectiveness and superiority of new proposed method.

MSC:

13F35 Witt vectors and related rings
15A06 Linear equations (linear algebraic aspects)
41A29 Approximation with constraints
47A05 General (adjoints, conjugates, products, inverses, domains, ranges, etc.)
65F30 Other matrix algorithms (MSC2010)
Full Text: DOI

References:

[1] B. D. O. Anderson and J. B. Moore, Optimal Control: Linear Quadratic Meth-ods, Courier Corporation, 2007.
[2] S. Barnett and C. Storey, Some applications of the Lyapunov matrix equation, IMA Journal of Applied Mathematics, 1968, 4(1), 33-42. · Zbl 0155.12902
[3] A. Bouhamidi and K. Jbilou, A note on the numerical approximate solutions for generalized Sylvester matrix equations with applications, Applied Mathematics and Computation, 2008, 206(2), 687-694. · Zbl 1162.65019
[4] D. C. Chen, Y. N. Zhang and S. Li, Tracking control of robot manipulators with unknown models: A jacobian-matrix-adaption method, IEEE Transactions on Industrial Informatics, 2017, 14(7), 3044-3053.
[5] Y. C. Chen, K. Q. Sun, B. Beker and R. Mittra, Unified matrix presentation of Maxwell’s and wave equations using generalized differential matrix operators [EM engineering education], IEEE Transactions on Education, 1998, 41(1), 61-69.
[6] M. Dehghan and M. Hajarian, Finite iterative algorithms for the reflexive and anti-reflexive solutions of the matrix equation A 1 X 1 B 1 + A 2 X 2 B 2 = C, Math-ematical and Computer Modelling, 2009, 49(9-10),1937-1959. · Zbl 1171.15310
[7] M. Dehghan and M. Hajarian, On the reflexive solutions of the matrix equation AXB+ CYD= E, Bulletin of the Korean Mathematical society, 2009, 46(3), 511-519. · Zbl 1170.15004
[8] M. Dehghan and M. Hajarian. The general coupled matrix equations over gener-alized bisymmetric matrices, Linear Algebra and its Applications, 2010, 432(6), 1531-1552. · Zbl 1187.65042
[9] M. Delphi and S. Shihab, Operational matrix basic spline wavelets of derivative for linear optimal control problem, Electronics Science Technology and Appli-cation, 2019, 6(2), 18-24.
[10] C ¸. Demir and Ö. Civalek, A new nonlocal FEM via Hermitian cubic shape functions for thermal vibration of nano beams surrounded by an elastic matrix, Composite Structures, 2017, 168, 872-884.
[11] A. M. Diwekar and R. K. Yedavalli, Smart structure control in matrix second-order form, Smart materials and Structures, 1995, 2442, 24-34.
[12] Z. Hailin, An iterative method for symmetric solutions of the matrix equation AXB+ CXD= F, Mathematica Numerica Sinica, 2010. DOI: 10.3788/HPLPB20102206.1351. · doi:10.3788/HPLPB20102206.1351
[13] M. Hajarian, Symmetric solutions of the coupled generalized Sylvester matrix equations via BCR algorithm, Journal of The Franklin Institute, 2016, 353(13), 3233-3248. · Zbl 1344.93044
[14] M. Hajarian, Convergence of HS version of BCR algorithm to solve the gener-alized Sylvester matrix equation over generalized reflexive matrices, Journal of the Franklin Institute, 2017, 354(5), 2340-2357. · Zbl 1398.93111
[15] E. J. Haug and K. K. Choi, Structural design sensitivity analysis with general-ized global stiffness and mass matrices, AIAA journal, 1984, 22(9), 1299-1303. · Zbl 0562.73082
[16] Z. H. He, W. L. Qin and X. X. Wang, Some applications of a decomposition for five quaternion matrices in control system and color image processing, Compu-tational and Applied Mathematics, 2021. DOI: 10.1007/S40314-021-01579-3. · doi:10.1007/S40314-021-01579-3
[17] Z. H. He, X. X. Wang and Y. F. Zhao, Eigenvalues of quaternion tensors with applications to color video processing, Journal of Scientific Computing, 2022. DOI: 10.1007/S10915-022-02058-5. · doi:10.1007/S10915-022-02058-5
[18] L. Jin, S. Li, B. Hu and J. G. Yu, A noise-suppressing neural algorithm for solving the time-varying system of linear equations: A control-based approach, IEEE Transactions on Industrial Informatics, 2018, 15(1), 236-246.
[19] C. Johnson, Numerical Solution of Partial Differential Equations by the Finite Element Method, Courier Corporation, 2012.
[20] V. N. Katsikis, S. D. Mourtas, P. S. Stanimirovic and Y. N. Zhang, Solv-ing complex-valued time-varying linear matrix equations via QR decomposition with applications to robotic motion tracking and on angle-of-arrival localiza-tion, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(8), 3415-3424.
[21] L. Lapidus and G. F. Pinder, Numerical solution of partial differential equations in science and engineering, John Wiley & Sons, 1999. · Zbl 0929.65056
[22] W. B. Li, A recurrent neural network with explicitly definable convergence time for solving time-variant linear matrix equations, IEEE Transactions on Indus-trial Informatics, 2018, 14(12), 5289-5298.
[23] Z. Li and Y. N. Zhang, Improved Zhang neural network model and its solu-tion of time-varying generalized linear matrix equations, Expert Systems with Applications, 2010, 37(10), 7213-7218.
[24] C. Q. Lv and C. F. Ma, BCR method for solving generalized coupled Sylvester equations over centrosymmetric or anti-centrosymmetric matrix, Computers & Mathematics with Applications, 2018, 75(1), 70-88. · Zbl 1478.65030
[25] V. Mehrmann, Matrix analysis for scientists and engineers [Book Review], IEEE Control Systems Magazine, 2006, 26(2), 94-95.
[26] N. Mikaeilvand, On solvability of fuzzy system of linear matrix equations, J. Appl. Sci. Res., 2011, 7(2), 141-153.
[27] Y. X. Peng, X. Y. Hu and L. Zhang, An iteration method for the symmetric solutions and the optimal approximation solution of the matrix equation AXB= C, Applied Mathematics and Computation, 2005, 160(3), 763-777. · Zbl 1068.65056
[28] Z. H. Peng, The reflexive least squares solutions of the matrix equation A 1 X 1 B 1 + A 2 X 2 B 2 + • • • + A l X l B l = C with a submatrix constraint, Numerical Algorithms, 2013, 64(3), 455-480. · Zbl 1281.65071
[29] Z. Y. Peng, An iterative method for the least squares symmetric solution of the linear matrix equation AXB= C, Applied Mathematics and Computation, 2005, 170(1), 711-723. · Zbl 1081.65039
[30] S. Sana and V. S. Rao, Application of linear matrix inequalities in the control of smart structural systems, Journal of intelligent material systems and structures, 2000, 11(4), 311-323.
[31] C. Q. Song, Iterative method to the coupled operator matrix equations with sub-matrix constraint and its application in control, Transactions of the Institute of Measurement and Control, 2021, 43(3), 597-611.
[32] M. T. Vespucci and C. G. Broyden, Implementation of different computational variations of biconjugate residual methods, Computers & Mathematics with Applications, 2001, 42(8-9), 1239-1253. · Zbl 0983.65037
[33] L. Xiao, B. L. Liao, S. Li and K. Chen, Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations, Neural Networks, 2018, 98, 102-113. · Zbl 1441.93265
[34] Y. J. Xie, N. Huang and C. F. Ma, Iterative method to solve the generalized cou-pled Sylvester-transpose linear matrix equations over reflexive or anti-reflexive matrix, Computers and Mathematics with Applications, 2014, 67(11), 2071-2084. · Zbl 1362.65041
[35] Y. J. Xie and C. F. Ma, Iterative methods to solve the generalized cou-pled Sylvester-conjugate matrix equations for obtaining the centrally symmetric (centrally antisymmetric) matrix solutions, Journal of Applied Mathematics, 2014, 2014(1), 1-17. · Zbl 1442.65067
[36] C. F. Yi, Y. H. Chen and Z. L. Lu, Improved gradient-based neural networks for online solution of Lyapunov matrix equation, Information processing letters, 2011, 111(16), 780-786. · Zbl 1260.68353
[37] S. W. Yu, Z. H. He, T. C. Qi and X. X. Wang, The equivalence canonical form of five quaternion matrices with applications to imaging and Sylvester-type equations, Journal of Computational and Applied Mathematics, 2021. DOI: 10.1016/J.CAM.2021.113494. · Zbl 1464.15027 · doi:10.1016/J.CAM.2021.113494
[38] H. M. Zhang, A finite iterative algorithm for solving the complex generalized coupled Sylvester matrix equations by using the linear operators, Journal of the Franklin Institute, 2017, 354(4), 1856-1874. · Zbl 1378.93047
[39] J. F. Zhang, Optimal control for mechanical vibration systems based on second-order matrix equations, Mechanical Systems and Signal Processing, 2002, 16(1), 61-67.
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