Abstract
This chapter gives a concise description of effective solutions to the guaranteed state estimation problems for dynamic systems with uncertain items being unknown but bounded. It indicates a rigorous theory for these problems based on the notion of evolution equations of the “funnel” type which could be further transformed, through exact ellipsoidal representations, into algorithmic procedures that allow effective simulation, particularly with computer graphics. The estimation problem is also interpreted as a problem of tracking a partially known system under incomplete measurements.
Mathematically, the technique described in this chapter is based on a theory of set-valued evolution equations with the ellipsoidal-valued functions formulating approximation of solutions in terms of set-valued calculus.
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References
J.-P. Aubin and I. Ekeland, Applied Nonlinear Analysis, Wiley, New York (1984).
F. L. Chernousko, Estimation of the Phase State of Dynamical Systems, Nauka, Moscow (1988).
T. F. Filippova, A. B. Kurzhanski, K. Sugimoto, and I. Valyi, Ellipsoidal Calculus, Singular Perturbations and State Estimation Problems for Uncertain Systems. IIASA, WP-92-51 (1992).
N. N. Krasovskii, The Control of a Dynamic System, Nauka, Moscow, Russia (1968).
A. B. Kurzhanski, Sov. Math. Dok. 3, 207 (1972).
A. B. Kurzhanski, Izvestia A. N. SSR, Techn. Kibernetika No. 5 (1973).
A. B. Kurzhanski, Control and Observation under Conditions of Uncertainty, Nauka, Moscow (1977).
A. B. Kurzhanski, in: From Data to Model (J. Willems, ed.), Springer-Verlag, Berlin, Germany (1988).
A. B. Kurzhanski and T. F. Filippova, in: Les Annales de l’Institut Henri Poincare, Analyse Non-lineaire, Paris, pp. 339-363 (1989).
A. B. Kurzhanski and T. F. Filippova, Sov. Math. Dok. 3, 454 (1991).
A. B. Kurzhanski and T. F. Filippova, On the Theory of Trajectory Tubes: A Mathematical Formalism for Uncertain Dynamics, Viability and Control, The Fields Institute for Research in Mathematical Sciences, FI93-DS08, pp. 1-67 (1993); Advances in Nonlinear Dynamics and Control: A Report from Russia, Birkhäuser, Boston, MA (1993).
A. B. Kurzhanski and O. I. Nikonov, in: Perspectives in Control Theory, Vol. 2 of Progress in Systems and Control Theory (B. Jakubczyk, K. Malanowski, and W. Respondek, eds.) Birkhäuser. Boston, pp. 143–153 (1990).
A. B. Kurzhanski and O. I. Nikonov, Dok. Akad. Nauk SSSR 311, 788 (1990).
A. B. Kurzhanski and I. Vályi, in: Analysis and Optimization of Systems, Vol. 111 of Lecture Notes in Control and Information Sciences (A. Bensoussan and J. L. Lions, eds.) Springer-Verlag, Berlin, Germany, pp. 775–785 (1988).
A. B. Kurzhanski and I. Vályi, Dynamics and Control 1, 357 (1991).
A. B. Kurzhanski and I. Vályi, Dynamics and Control 2, 87 (1992).
M. Milanese and A. Vicino, Automatica 27, 997 (1991).
J. P. Norton, Automatica 23, 4 (1987).
A. I. Ovseevich and F. L. Chernousko, Prikl. Mat. Mech. 46, 5 (1982).
A. I. Panasyuk and V. I. Panasyuk, Asymptotic Magistral Optimization of Controlled Systems, Nauka i Technika, Minsk (1986).
F. C. Schweppe, Uncertain Dynamic Systems, Prentice-Hall, Englewood Cliffs, NJ (1973).
I. Vályi, in: Modelling and Adaptive Control Vol. 105 of Lecture Notes in Control and Information Sciences (A. B. Kurzhanski and C. I. Byrnes, eds.) Springer-Verlag, Berlin, Germany, pp. 361–384 (1986).
E. Walter and H. Piet-Lahanier, in: Proceedings of the 12th IMACS World Congress (R. Vichnevetsky, P. Borne, and J. Vignes, eds.) IMACS (1988).
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Filippova, T.F., Kurzhanski, A.B., Sugimoto, K., Vályi, I. (1996). Ellipsoidal State Estimation for Uncertain Dynamical Systems. In: Milanese, M., Norton, J., Piet-Lahanier, H., Walter, É. (eds) Bounding Approaches to System Identification. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9545-5_14
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DOI: https://doi.org/10.1007/978-1-4757-9545-5_14
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