Wang, Zidong; Lam, James; Liu, Xiaohui Filtering for a class of nonlinear discrete-time stochastic systems with state delays. (English) Zbl 1152.93053 J. Comput. Appl. Math. 201, No. 1, 153-163 (2007). For a class of nonlinear discrete time stochastic systems with state delays, the filtering problem is investigated. The researchers developed an algebraic matrix inequality approach to deal with the filter analysis problem, then, they derived a sufficient condition for the existence of the desired filters. The filter design problem is tackled based on the generalized inverse theory. An empirical example is provided to demonstrate the importance of the proposed design method. Reviewer: Salah Hamza Abid (Baghdad) Cited in 27 Documents MSC: 93E11 Filtering in stochastic control theory 93C55 Discrete-time control/observation systems 93C10 Nonlinear systems in control theory 93E03 Stochastic systems in control theory (general) 15A45 Miscellaneous inequalities involving matrices 15A29 Inverse problems in linear algebra Keywords:filtering; discrete-time systems; time delay; stochastic systems; matrix inequalities PDF BibTeX XML Cite \textit{Z. Wang} et al., J. Comput. Appl. Math. 201, No. 1, 153--163 (2007; Zbl 1152.93053) Full Text: DOI References: [1] Ben-Israel, A.; Greville, T. N.E., Generalized Inverses: Theory and Applications (1974), Wiley: Wiley New York · Zbl 0305.15001 [3] Boukas, E. K.; Liu, Z.-K., Deterministic and Stochastic Time-delay Systems (2002), Birkhauser: Birkhauser Boston · Zbl 0998.93041 [4] Elanayar, V. T.S.; Shin, Y. C., Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems, IEEE Trans. Neural Networks, 5, 594-603 (1994) [5] Fleming, W. H.; McEneaney, W. M., A max-plus-based algorithm for a Hamilton-Jacobi-Bellman equation of nonlinear filtering, SIAM J. Control Optim., 38, 683-710 (2000) · Zbl 0949.35039 [6] Fridman, E.; Shaked, U.; Xie, L., Robust \(H_2\) filtering of linear systems with time delays, Int. J. Robust & Nonlinear Control, 13, 983-1010 (2003) [7] Gelb, A., Applied Optimal Estimation (1974), Cambridge University Press: Cambridge University Press Cambridge [9] Glover, K., All optimal Hankel-norm approximations of linear multivariable systems and their \(L^\infty \)-error bounds, Int. J. Control, 39, 1115-1193 (1984) · Zbl 0543.93036 [10] Nguang, S. K.; Shi, P., Nonlinear \(H_\infty\) filtering of sampled-data systems, Automatica, 36, 303-310 (2000) · Zbl 0943.93041 [11] Nguang, S. K.; Shi, P., \(H_\infty\) filtering design for uncertain nonlinear systems under sampled measurements, Int. J. Systems Sci., 32, 889-898 (2001) · Zbl 1010.93102 [12] Saberi, A.; Sannuti, P.; Chen, B. M., \(H_2\) Optimal Control (1995), Prentice Hall International: Prentice Hall International London [13] Tarn, T.-J.; Rasis, Y., Observers for nonlinear stochastic systems, IEEE Trans. Automat. Control, 21, 441-448 (1976) · Zbl 0332.93075 [14] Wang, Z.; Burnham, K. J., Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation, IEEE Trans. Signal Process., 49, 794-804 (2001) [15] Wang, Z.; Ho, D. W.C., Filtering on nonlinear time-delay stochastic systems, Automatica, 39, 101-109 (2003) · Zbl 1010.93099 [16] Wang, Z.; Lam, J.; Liu, X., Nonlinear filtering for state delayed systems with Markovian switching, IEEE Trans. Signal Process., 51, 2321-2328 (2003) · Zbl 1369.94314 [17] Xie, L.; Soh, Y. C.; de Souza, C. E., Robust Kalman filtering for uncertain discrete-time systems, IEEE Trans. Automat. Control, 39, 1310-1314 (1994) · Zbl 0812.93069 [19] Yuan, C.; Mao, X., Robust stability and controllability of stochastic differential delay equations with Markovian switching, Automatica, 40, 3, 343-354 (2004) · Zbl 1040.93069 [20] Zhu, X.; Soh, Y. C.; Xie, L., Robust Kalman filters design for discrete time-delay systems, Circuits Systems Signal Process., 21, 3, 319-335 (2002) · Zbl 1022.93047 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.