Abstract
The method of ellipsoids for the guaranteed state estimation of uncertain dynamical systems is associated with optimal two-sided ellipsoidal bounds for reachable sets of the systems. Being based on the set-membership approach to uncertainties, the method can be regarded as a natural counterpart to well-known stochastic, or probabilistic, techniques. Basic concepts and results of the method are outlined, and certain results are presented. Various possible applications to problems in control, estimation, and observation are considered.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chernousko, F.L.: Optimal guaranteed estimates of indeterminacies using ellipsoids, Parts 1–3. Izv. Akad. Nauk SSSR, Tekh. Kibern. 3, 3–11; 4, 3–11; 5, 5–11 (1980)
Chernousko, F.L.: Estimation of Phase State for Dynamical Systems. Nauka, Moscow (1988)
Chernousko, F.L.: State Estimation for Dynamic Systems. CRC, Boca Raton (1994)
Chernousko, F.L.: Ellipsoidal approximation of attainability sets of linear system with indeterminate matrix. J. Appl. Math. Mech. 60(6), 921–931 (1996)
Chernousko, F.L.: What is ellipsoidal modelling and how to use it for control and state estimation? In: Elishakoff, I. (ed.) Whys and Hows in Uncertainty Modelling, pp. 127–188. Springer, Vienna (1999)
Chernousko, F.L., Ovseevich, A.I.: Some properties of optimal ellipsoids approximating reachable sets. Dokl. Math. 67(1), 123–126 (2003)
Chernousko, F.L., Ovseevich, A.I.: Properties of the optimal ellipsoids approximating the reachable sets of uncertain systems. J. Optim. Theor. Appl. 120(2), 223–246 (2004)
Goetz, A., Herzberger, J.: Introduction to Interval Analysis. Academic, New York (1983)
Jaulin, L., Kieffer, M., Didrit, O., Walter, E.: Applied Interval Analysis. Springer, London (2001)
Kieffer, M., Walter, E.: Interval analysis for guaranteed non-linear parameter and state estimation. Math. Comput. Model. Dyn. Syst. 11(2), 171–181 (2005)
Klepfish, B.R.: Method of obtaining the two-side estimate on the time of pursuit. Izv. Akad. Nauk SSSR, Tekh. Kibern. 4, 156–160 (1984)
Komarov, V.A.: Estimates on reachable sets and construction of admissible controls for linear systems. Dokl. Akad. Nauk SSSR 268, 537–541 (1982)
Komarov, V.A.: Estimates on reachable sets for linear systems. Izv. Akad. Nauk SSSR, Ser. Mat. 48, 865–879 (1984)
Krasovskii, N.N.: Game Problems of Meeting of Motions. Nauka, Moscow (1970)
Krasovskii, N.N., Subbotin, A.I.: Positional Differential Games. Springer, Berlin (1988)
Kurzhanski, A.B., Varaiya, P.: Ellipsoidal techniques for reachability analysis. Lecture Notes in Computer Science vol. 1790, pp. 202–214. Springer, Berlin (2000)
Maksarov, D.G., Norton, J.P.: State bounding with ellipsoidal set description of the uncertainty. Int. J. Control 65, 847–866 (1996)
Maksarov, D.G., Norton, J.P.: Computationally efficient algorithms for state estimation with ellipsoidal approximations. Int. J. Adapt. Control Signal Process. 16, 411–434 (2002)
Milanese, M., Norton, J., Piet-Lahanier, H., Walter, E. (eds.): Bounding Approaches to System Identification. Plenum, New York (1996)
Moore, R.E.: Methods and Applications of Interval Analysis. SIAM, Philadelphia (1979)
Nazin, S.A., Polyak, B.T.: Interval parameter estimation under model uncertainty. Math. Comput. Model. Dyn. Syst. 11(2), 225–237 (2005)
Neumaier, A.: Interval Methods for Systems of Equations. Cambridge University Press, Cambridge (1990)
Norton, J.P. (ed.): Special issue on bounded-error estimation, 1. Int. J. Adapt. Control Signal Process. 8(1) (1994)
Norton, J.P. (ed.): Special issue on bounded-error estimation, 2. Int. J. Adapt. Control Signal Process. 9(2) (1995)
Norton, J.P.: Results to aid applications of ellipsoidal state bounds. Math. Comput. Model. Dyn. Syst. 11(2), 209–224 (2005)
Ovseevich, A.I.: Limit behavior of attainable and superattainable sets. In: Modelling, Estimation, and Control of Systems with Uncertainty, pp. 324–333. Birkhäuser, Boston (1991)
Ovseevich, A.I.: On equations of ellipsoids approximating attainable sets. J. Optim. Theor. Appl. 95(3), 659–676 (1997)
Ovseevich, A.I., Chernousko, F.L. : Methods of ellipsoidal estimation for linear control systems. In: Proc. 17th World Congress, The International Federation of Automatic Control, pp. 15345–15348. Seoul, Korea (2008)
Ovseevich, A.I., Taraban’ko, Yu.V., Chernousko, F.L.: A comparison of interval and ellipsoidal error bounds for vector operations. Dokl. Math. 71(1), 127–130 (2005)
Polyak, B.T., Nazin, S.A., Durieu, C., Walter, E.: Ellipsoidal parameter or state estimation under model uncertainty. Automatica 40, 1171–1179 (2004)
Pronzato, L., Walter, E.: Minimum-volume ellipsoids containing compact sets: application to parameter bounding. Automatica 30, 1731–1739 (1994)
Rokityanskiy, D.Ya., Veres, S.M.: Application of ellipsoidal estimation to satellite control design. Math. Comput. Model. Dyn. Syst. 11(2), 239–249 (2005)
Schweppe, F.C.: Uncertain Dynamic Systems. Prentice-Hall, Englewood Cliffs, NJ (1973)
Walter, E. (ed.): Special issue on parameter identification with error bound. Math. Comput. Simul. 32 (1990)
Acknowledgements
This work was supported by the Russian Foundation for Basic Research (Project 08-01-00411) and by the Grant of Support for Leading Russian Scientific Schools (NSh-4315.2008.1).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Chernousko, F.L. (2010). Optimal Ellipsoidal Estimates of Uncertain Systems: An Overview and New Results. In: Marti, K., Ermoliev, Y., Makowski, M. (eds) Coping with Uncertainty. Lecture Notes in Economics and Mathematical Systems, vol 633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03735-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-03735-1_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03734-4
Online ISBN: 978-3-642-03735-1
eBook Packages: Business and EconomicsBusiness and Management (R0)