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Ellipsoidal state estimation for dynamical systems. (English) Zbl 1153.93345

Summary: The ellipsoidal estimation of state for dynamical systems is an efficient technique for the set-membership modelling of uncertain dynamical systems. In the paper, an overview of recent results on the method of ellipsoids for the approximation of reachable sets of dynamical systems is presented. Optimal ellipsoidal estimates of reachable sets are considered for various optimality criteria, including the new one equal to the projection of an ellipsoidal onto a given direction. Nonlinear differential equations governing the evolution of ellipsoids are analyzed and simplified. The method of ellipsoids is extended to the case where the parameters of the system are uncertain and/or subjected to unknown but bounded perturbations. Generalizations of the method of ellipsoids and its applications to control problems for dynamical systems are discussed.

MSC:

93B30 System identification
93C42 Fuzzy control/observation systems
Full Text: DOI

References:

[1] Bertsekas, D. P.; Rhodes, I. B., Recursive state estimation for a set-membership description of uncertainty, IEEE Trans. Automat. Control, 16, 117-128 (1968)
[2] F.L. Chernousko, Optimal guaranteed estimates of indeterminacies with the aid of ellipsoids, I; II; III, Eng. Cybern. 3-5 (1981) 3-11.; F.L. Chernousko, Optimal guaranteed estimates of indeterminacies with the aid of ellipsoids, I; II; III, Eng. Cybern. 3-5 (1981) 3-11.
[3] Chernousko, F. L., Estimation of Phase State for Dynamic Systems (1988), Nauka: Nauka Moscow, (in Russian) · Zbl 0552.49029
[4] Chernousko, F. L., State Estimation for Dynamic Systems (1994), CRC Press: CRC Press Boca Raton · Zbl 0830.93032
[5] Chernousko, F. L., Ellipsoidal approximation of attainability sets of linear system with indeterminate matrix, J. Appl. Math. Mech., 60, 6, 921-931 (1996) · Zbl 1040.93503
[6] Chernousko, F. L., What is ellipsoidal modelling and how to use it for control and state estimation?, (Elishakoff, I., Whys and Hows in Uncertainty Modelling (1999), Springer: Springer Wien), 127-188
[7] Chernousko, F. L., On optimal ellipsoidal estimation for dynamical systems subjected to uncertain perturbations, Cybern. Systems Anal., 2, 85-95 (2002)
[8] Chernousko, F. L.; Rokityanskii, D. Ya., Ellipsoidal bounds on reachable sets of dynamical system with matrices subjected to uncertain perturbations, J. Optim. Theory Appl., 104, 1-19 (2000) · Zbl 0968.93011
[9] Chernousko, F. L.; Ovseevich, A. I., Some properties of optimal ellipsoids approximating reachable sets, Dokl. Math., 67, 1, 123-126 (2003)
[10] Chernousko, F. L.; Ovseevich, A. I., Properties of the optimal ellipsoids approximating the reachable sets of uncertain systems, J. Optim. Theory Appl., 120, 223-246 (2004) · Zbl 1048.93007
[11] Combettes, P. L., The foundation of set-theoretic estimation, Proc. IEEE, 81, 182-208 (1993)
[12] Durieu, C.; Walter, E.; Polyak, B., Multi-input multi-output ellipsoidal state bounding, J. Optim. Theory Appl., 111, 273-303 (2001) · Zbl 1080.93656
[13] Kinev, A. N.; Rokityanskii, D. Ya.; Chernousko, F. L., Ellipsoidal bounds for the phase state of linear systems with parametric perturbations and uncertain observation matrix, J. Comput. Systems Sci. Int., 41, 1-9 (2002)
[14] Kurzhanski, A. B., Control and Observation under Uncertainty (1977), Nauka: Nauka Moscow, (in Russian) · Zbl 0461.93001
[15] Kurzhanski, A. B.; Valyi, I., Ellipsoidal Calculus for Estimation and Control (1997), Birkhäuser: Birkhäuser Boston · Zbl 0865.93001
[16] Kurzhanski, A. B.; Varaiya, P., Ellipsoidal techniques for reachability analysis, Lect. Notes Comput. Sci., 1790, 202-214 (2000) · Zbl 0962.93009
[17] M. Milanese, J. Norton, H. Piet-Lahanier (Eds.), Bounding Approach to System Identification, Plenum Press, New York, 1996.; M. Milanese, J. Norton, H. Piet-Lahanier (Eds.), Bounding Approach to System Identification, Plenum Press, New York, 1996. · Zbl 0845.00024
[18] J. Norton (Ed.), Special issues on bound-error estimation, 1; 2; Int. J. Adapt. Control Signal Process. (1995) 1-132.; J. Norton (Ed.), Special issues on bound-error estimation, 1; 2; Int. J. Adapt. Control Signal Process. (1995) 1-132.
[19] Schweppe, F. C., Recursive state estimationunknown but bounded errors and system inputs, IEEE Trans. Automat. Control, 13, 22-28 (1968)
[20] Schweppe, F. C., Uncertain Dynamic Systems (1973), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ
[21] E. Walter (Ed.), Special issue on parameters identifications error bound, Math. Comput. Simulat. 32 (1990) 447-607.; E. Walter (Ed.), Special issue on parameters identifications error bound, Math. Comput. Simulat. 32 (1990) 447-607.
[22] Witsenhausen, H. S., Sets of possible states of linear system given perturbed observations, IEEE Trans. Automat. Control, 13, 556-558 (1968)
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