Abstract
The problem of H ∞ filtering for discrete-time systems with time-varying delay in measurement is investigated in this paper. First, under the assumption that the time-varying delay is of a known upper bound, the delayed measurement is re-described as the one with multiple state delays. Then the proposed H ∞ filtering problem is transformed into one for systems with multiple measurement channels that contain the same state information as the original measurement and each channel has a single constant delay. Finally, based on the reorganized innovation analysis approach in Krein space, a necessary and sufficient condition for the existence of an H ∞ filter which guarantees a prescribed attenuation level is derived. The solution to the H ∞ filtering is given in terms of the solutions to Riccati and matrix difference equations.
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J. C. Doyle, K. Glover, P. P. Khargonekar, and B. A. Francis, “State-space solutions to standard H 2 and H ∞ control problems,” IEEE Trans. on Automatic Control, vol. 34, no. 8, pp. 831–847, 1989.
D. J. Limebeer and U. Shaked, “New results in H ∞ filtering,” Proc. of the International symposium on the Mathematical Theory of Networks and systems, pp. 317–322, 1991.
I. Yaesh and U. Shaked, “Optimal estimation—The discrete time case,” Proc. of the Mathematical Theory of Networks and systems, pp. 261–267, 1991.
M. Green and D. J. N. Limebeer, Linear Robust Control, Prentice-Hall, Englewood Cliffs, NJ, 1995.
P. P. Khargonekar and K. M. Nagpal, “Filtering and smoothing in an H∞ setting,” IEEE Trans. on Automatic Control, vol. 36, no. 2, pp. 152–166, 1991.
T. Basar, “Optimum performance levels for minimax filters, predictors and smoothers,” System & Control Letters, vol. 16, no. 5, pp. 309–317, 1991.
H. Kwakernaak, “A polynomial approach to minimax frequency domain optimization of multivariable feedback systems,” International Journal of Control, vol. 44, no. 1, pp. 117–156, 1986.
M. J. Grimble, “Polynomial matrix solution of the H ∞ filtering problem and the relationship to Riccati equation state-space results,” IEEE Trans. on Signal Processing, vol. 41, no.1, pp. 67–81, 1993.
A. Pila, U. Shaked, and C. de Souza, “H ∞ filtering for continuous-time linear systems with delay,” IEEE Trans. on Automatic Control, vol. 44, no. 7, pp. 1412–1417, 1999.
A. Fattou, O. Sename, and J. Dion, “H∞ observer design for time-delay systems,” Proc. of the 37th IEEE Conference on Decision and Control, pp. 4545–4546, 1998.
R. Palhares, P. Peres, and C. de Souza, “Robust H ∞ filtering for linear continuous-time uncertain systems with multiple delays: An LMI approach,” Proc. of the 3rd IFAC Conference on Robust Control Design, Prague, Czech Republic, 2000.
R. M. Palhares, C. E. de Souza, and P. L. D. Peres, “Robust H∞ filtering for uncertain discrete-time state-delayed systems,” IEEE Trans. on Signal Processing, vol. 49, no. 8, pp. 1696–1703, 2001.
E. Fridman and U. Shaked, “A new H∞ filter design for linear time delay systems,” IEEE Trans. on Signal Processing, vol. 49, no. 11, pp. 2839–2843, 2001.
E. Fridman and U. Shaked, “An improved delaydependent H∞ filtering of linear neutral systems,” IEEE Trans. on Signal Processing, vol. 52, no. 3, pp. 668–673, 2004.
H. Gao and C. Wang, “A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems,” IEEE Trans. on Signal Processing, vol. 53, no. 8, pp. 3183–3192, 2005.
J. Nilsson, B. Bernhardsson, and B. Wittenmark, “Stochastic analysis and control of real-time systems with random time delays,” Automatica, vol. 34, no. 1, pp. 57–64, 1998.
B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, and S. S. Sastry, “Optimal control with unreliable communication: the TCP case,” Proc. of the American Control Conference, vol. 5, pp. 3354–3359, 2005.
Y. He, Q. G. Wang, and C. Lin, “An improved H∞ filter design for systems with time-varying interval delay,” IEEE Trans. on Circuits and Systems-II: Express Briefs, vol. 53, no. 11, pp. 1235–1239, 2006.
Y. He, G. P. Liu, D. Rees, and M. Wu, “H ∞ filtering for discrete-time systems with time-varying delay,” Signal Processing, vol. 89, no. 3, pp. 275–282, 2009.
X. G. Yu, “An LMI approach to robust H ∞ filtering for uncertain systems with time-varying distributed delays,” Journal of the Franklin Institute, vol. 345, no. 8, pp. 877–890, 2008.
C. E. de Souza, R. M. Palhares, and P. L. D. Peres, “Robust H ∞ filter design for uncertain linear systems with multiple time-varying state delays,” IEEE Trans. on Signal Processing, vol. 49, no. 3, pp. 569–576, 2001.
E. Fridman, U. Shaked, and L. Xie, “Robust H∞ filtering of linear Systems with time-varying delay,” IEEE Trans. on Automatic Control, vol. 48, no. 1, pp. 159–165, 2003.
D. Yue and Q. L. Han, “Network-based robust H∞ filtering for uncertain linear systems,” IEEE Trans. on Signal Processing, vol. 54, no. 11, pp. 4293–4301, 2006.
X. M. Zhang and Q. L. Han, “Robust H ∞ filtering for a class of uncertain linear systems with time-varying delay,” Automatica, vol. 44, no. 1, pp.157–166, 2008.
S. Xu, J. Lam, and X. Mao, “Delay-dependent H ∞ control and filtering for uncertain Markovian jump systems with time-varying delays,” IEEE Trans. on Circuits and Systems-I: Regular Papers, vol. 54, no. 9, pp. 2070–2077, 2007.
H. S. Zhang and L. H. Xie, “Optimal estimation for systems with time-varying delay,” Proc. of the 46th IEEE Conference on Decision and Control, New Orleans, LA, United States, pp. 4311–4316, 2007.
W. Wang, H. S. Zhang, and L. H. Xie. “Kalman filtering for continuous-time systems with timevarying delay,” IET Control Theory & Applications, vol. 4, no. 4, pp. 590–600, 2010.
Y. F. Wang, C. H. Wang, and Q. H. Li, “Robust H ∞ filtering for discrete-time uncertain linear systems with time-varying delayed outputs,” Proc. of International Conference on Machine Learning and Cybernetics, Shanghai, pp. 1055–1059, 2004.
H. S. Zhang, L. H. Xie, D. Zhang, and Y. C. Soh, “A reorganized innovation approach to linear estimation,” IEEE Trans. on Automatic Control, vol. 49, no. 10, p 1810–1814, 2004.
H. S. Zhang, X. Lu, and D. Cheng, “Optimal estimation for continuous-time systems with delayed measurements,” IEEE Trans. on Automatic Control, vol. 51, no. 5, pp. 823–827, 2006.
B. Hassibi, A. H. Sayed, and T. Kailath, “Linear estimation in Krein spaces — part II: applications,” IEEE Trans. on Automatic Control, vol. 41, no. 1, pp. 34–49, Jan. 1996.
B. Hassibi, A. H. Sayed, and T. Kailath, Indefinite Quadratic Estimation and Control: A Unified Approach to H 2 and H ∞ Theories, SIAM Studies in Applied Mathematics Series, 1998.
H. S. Zhang, F. Gang, G. R. Duan, and X. Lu, “H ∞ filtering for multiple-time-delay measurements,” IEEE Trans. on Signal Processing, vol. 54, no. 5, pp. 1681–1688, 2006.
H. S. Zhang, L. H. Xie, W. Wang, and X. Lu, “An innovation approach to H ∞ fixed-lag smoothing for continuous time-varying systems,” IEEE Trans. on Automatic Control, vol. 49, no. 12, pp. 2240–2244, 2004.
T. Kailath, A. H. Sayed, and B. Hassibi, Linear Estimation, Prentice-Hall, Englewood Cliffs, N.J., 1999.
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Recommended by Editorial Board member Poo Gyeon Park under the direction of Editor Young Il Lee. This work was supported by the National Natural Science Foundation for Distinguished Young Scholars of China (No.60825304), the National Basic Research Development Program of China (973 Program) (No.2009cb320600), the Independent Innovation Foundation of Shandong University (No. 2010GN064), and the Key Laboratory of Integrated Automation for the Process Industry (Northeastern University), Ministry of Education.
Wei Wang received his Ph.D. degree in Control Science and Engineering from Shenzhen Graduate School, Harbin Institute of Technology in 2010. He is currently a lecture at Shandong University. His research interests include optimal control and estimation.
Huanshui Zhang received his Ph.D. degree in Control Theory and Signal Processing from Northeastern University in 1997. He is currently a Professor in Shandong University. His research interests include optimal estimation and control, robust filtering and control, time delay systems, communication systems, stochastic systems, and singular systems.
Chunyan Han received her Ph.D. degree in Control Theory and Control Engineering from Shandong University. She is currently a lecture at the University of Jinan. Her main research interests include optimal estimation, Markovian jump linear systems, and time-delay systems.
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Wang, W., Zhang, H. & Han, C. H∞ filtering for discrete-time systems with time-varying delay. Int. J. Control Autom. Syst. 8, 1159–1170 (2010). https://doi.org/10.1007/s12555-010-0601-1
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DOI: https://doi.org/10.1007/s12555-010-0601-1