Abstract
This paper is considered with the computation of upper bounds for the solution of continuous algebraic Riccati equations (CARE). A parameterized upper bound for the solution of CARE is proposed by utilizing some linear algebraic techniques. Based on this bound, more precise estimation can be achieved by means of carefully choosing the bound’s parameters. Iterative algorithm is also developed to obtain more sharper solution bounds. Comparing with some existing results in the literature, the proposed bounds are less restrictive and more effective. The effectiveness and advantages of the proposed approach are illustrated via a numerical example.
Similar content being viewed by others
References
M. Basin, D. Calderon-Alvarez, Delay-dependent stability for vector nonlinear stochastic systems with multiple delays. Int. J. Innov. Comput. Inf. Control 7(4), 1565–1576 (2011)
H.H. Choi, T.Y. Kuc, Lower matrix bounds for the continuous algebraic Riccati and Lyapunov matrix equations. Automatica 38, 1147–1152 (2002)
R. Davies, P. Shi, R. Wiltshire, New upper solution bounds for perturbed continuous algebraic Riccati equations applied to automatic control. Chaos Solitons Fractals 32, 487–495 (2007)
R. Davies, P. Shi, R. Wiltshire, New upper solution bounds of the discrete algebraic Riccati matrix equation. J. Comput. Appl. Math. 213, 307–315 (2008)
R. Davies, P. Shi, R. Wiltshire, New upper solution bounds for the continuous algebraic Riccati matrix equation. Int. J. Control. Autom. Syst. 6(5), 776–784 (2008)
R. Davies, P. Shi, R. Wiltshire, New lower solution bounds of the discrete algebraic Riccati matrix equation. Linear Algebra Appl. 427, 242–255 (2007)
R.S. Gau, C.H. Lien, J.G. Hsieh, Novel stability conditions for interval delayed neural networks with multiple time-varying delays. Int. J. Innov. Comput. Inf. Control 7(1), 433–444 (2011)
R.A. Horn, C.R. Johnson, Matrix Analysis (Cambridge University Press, Cambridge, 1985)
J. Huang, Z. Han, X. Cai, L. Liu, Robust stabilization of linear differential inclusions with affine uncertainty. Circuits Syst. Signal Process. 30, 1369–1382 (2011)
N. Komaroff, Upper summation and product bounds for solution eigenvalues of the Lyapunov matrix equation. IEEE Trans. Autom. Control 37, 1040–1042 (1992)
W.H. Kwon, Y.S. Moon, S.C. Ahn, Bounds in algebraic Riccati and Lyapunov equations: a survey and some new results. Int. J. Control 64, 377–389 (1996)
C.H. Lee, Eigenvalue upper and lower bounds of the solution for the continuous algebraic matrix Riccati equation. IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. 34, 683–686 (1996)
C.H. Lee, New results for the bounds of the solutions for the continuous algebraic Riccati and Lyapunov equations. IEEE Trans. Autom. Control 42, 118–123 (1997)
C.H. Lee, Simpler stabilizability criteria and memoryless state feedback control design for time-delay systems with time-varying perturbations. IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. 45, 1121–1125 (1998)
C.H. Lee, Solution bounds of the continuous Riccati matrix equation. IEEE Trans. Autom. Control 48, 1409–1414 (2003)
C.H. Lee, Matrix bounds of the continuous and discrete Riccati equation: a unified approach. Int. J. Control 76, 635–642 (2003)
C.H. Lee, New upper solution bounds of the continuous algebraic Riccati matrix equations. IEEE Trans. Autom. Control 51, 330–334 (2006)
B. Liu, Y. Xia, M. Mahmoud, H. Wu, S. Cui, New predictive control scheme for networked control systems. Circuits Syst. Signal Process. 31, 945–960 (2012)
P.L. Liu, Robust stability for neutral time-varying delay systems with nonlinear perturbations. Int. J. Innov. Comput. Inf. Control 7(10), 5749–5760 (2011)
S. Savov, I. Popchev, New upper estimates for the solution of the continuous algebraic Lyapunov equation. IEEE Trans. Autom. Control 49, 1841–1842 (2004)
X. Su, P. Shi, L. Wu, Y.D. Song, A novel approach to filter design for T-S fuzzy discrete-time systems with time-varying delay. IEEE Trans. Fuzzy Syst. (2012). doi:10.1109/TFUZZ.2012.2196522
J.G. Sun, Perturbation theory for algebraic Riccati equation. SIAM J. Matrix Anal. Appl. 19, 39–65 (1998)
D.N. Vizireanu, S.V. Halunga, Single sine wave parameters estimation method based on four equally spaced samples. Int. J. Electron. 98(7), 941–948 (2011)
D.N. Vizireanu, S.V. Halunga, Analytical formula for three points sinusoidal signals amplitude estimation errors. Int. J. Electron. 99(1), 149–151 (2012)
S.S. Wang, T.P. Lin, Robust stability of uncertain time-delay systems. Int. J. Control 46, 963–976 (1987)
L. Wu, X. Su, P. Shi, J. Qiu, Model approximation for discrete-time state-delay systems in the T-S fuzzy framework. IEEE Trans. Fuzzy Syst. 19(2), 366–378 (2011)
L. Wu, X. Su, P. Shi, J. Qiu, A new approach to stability analysis and stabilization of discrete-time T-S fuzzy time-varying delay systems. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 41(1), 273–286 (2011)
R. Yang, H. Gao, P. Shi, Novel robust stability criteria for stochastic Hopfield neural networks with time delays. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 39(2), 467–474 (2009)
H. Zhang, G. Feng, C. Dang, An approach to H ∞ control of a class of nonlinear stochastic systems. Circuits Syst. Signal Process. 31, 127–141 (2012)
W. Zhang, X. Cai, Z. Han, Robust stability criteria for systems with interval time-varying delay and nonlinear perturbations. J. Comput. Appl. Math. 234, 174–180 (2010)
W. Zhang, H. Su, H. Wang, Z. Han, Full-order and reduced-order observers for one-sided Lipschitz nonlinear systems using Riccati equations. Commun. Nonlinear Sci. Numer. Simul. 17, 4968–4977 (2012)
F. Zhu, Z. Han, A note on observers for Lipschitz nonlinear systems. IEEE Trans. Autom. Control 47, 1751–1754 (2002)
Acknowledgements
The authors would like to thank the associate editor and the anonymous reviewers for their helpful suggestions. This work is supported in part by the National Natural Science Foundation of China under Grant 61104140, the Natural Science Foundation of Shanghai under Grant 12ZR1412200, the Innovation Program of Shanghai Municipal Education Commission under Grant 12YZ156, the Excellent Young Teachers Program of Shanghai Higher Education under Grant shgcjs001, the Fundamental Research Funds for the Central Universities (HUST: Grant No. 2011JC055), the Research Fund for the Doctoral Program of Higher Education (RFDP) under Grant 20100142120023, and the Natural Science Foundation of Hubei Province of China under Grant 2011CDB042.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, W., Su, H. & Wang, J. Computation of Upper Bounds for the Solution of Continuous Algebraic Riccati Equations. Circuits Syst Signal Process 32, 1477–1488 (2013). https://doi.org/10.1007/s00034-012-9498-7
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-012-9498-7