Abstract
We present a simple and universal observer-based approach to solving the problem of robust filtering of unknown-but-bounded exogenous disturbances. The heart of this approach is the method of invariant ellipsoids. Application of this technique allows for a reformulation of the original problem in terms of linear matrix inequalities with reduction to semidefinite programming and one-dimensional optimization, which are easy to solve numerically. Continuous-time and discrete-time cases are studied in equal detail. The efficacy of the approach is demonstrated via the double pendulum example.
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References
Schweppe, F.C., Uncertain Dynamic Systems, New Jersey: Prentice Hall, 1973.
Kurzhanskii, A.B., Upravlenie i nablyudenie v usloviyakh neopredelennosti (Control and Observation under Uncertainty), Moscow: Nauka, 1977.
Chernousko, F.L., Otsenivanie fazovogo sostoyaniya dinamicheskikh sistem (State Estimation for Dynamic Systems), Moscow: Nauka, 1988.
Kurzhanski, A.B. and Valyi, I., Ellipsoidal Calculus for Estimation and Control, Boston: Birkhauser, 1997.
Kuntsevich, V.M., Upravlenie v usloviyakh neopredelennosti: garantirovannye rezul’taty v zadachakh upravleniya i identifikatsii (Control under Uncertainty: Guaranteed Results in Control and Identification Problems), Kiev: Naukova Dumka, 2006.
Furasov, V.D., Zadachi garantirovannoi identifikatsii (Problems of Guaranteed Identification), Moscow: Binom, 2005.
Ovseevich, A.I. and Taraban’ko, Yu.V., Explicit Formulae for Ellipsoids Approximating Reachable Sets, Izv. Ross. Akad. Nauk, Teor. Sist. Upravlen., 2007, no. 2, pp. 33–44.
Special Issue: Set-membership Modelling of Uncertainty in Dynamical Systems, Chernousko, F. and Polyak, B., Eds., Math. Comput. Modelling Dynam. Syst., 2005, vol. 11, no. 2.
Polyak, B.T. and Topunov, N.V., Filtering under Nonrandom Disturbances: The Invariant Ellipsoid Method, Dokl. Ross. Akad. Nauk, 2008, vol. 418, no. 6, pp. 749–753.
Boyd, S., El Ghaoui, L., Ferron E., and Balakrishnan, V., Linear Matrix Inequalities in System and Control Theory, Philadelphia: SIAM, 1994.
Balandin, D.V. and Kogan, M.M., Sintez zakonov upravleniya na osnove lineinykh matrichnykh neravenstv (LMI-based Control System Design), Moscow: Fizmatlit, 2007.
Abedor, J., Nagpal, K., and Poolla, K., A Linear Matrix Inequality Approach to Peak-to-peak Gain Minimization, Int. J. Robust Nonlinear Control, 1996, vol. 6, pp. 899–927.
Blanchini, F., Set Invariance in Control—a Survey, Automatica, 1999, vol. 35, pp. 1747–1767.
Nazin, S.A., Polyak, B.T., and Topunov, M.V., Rejection of Bounded Exogenous Disturbances by the Method of Invariant Ellipsoids, Avtom. Telemekh., 2007, no. 3, pp. 106–125.
Churilov, A.N. and Gessen, A.V., Issledovanie lineinykh matrichnykh neravenstv (putevoditel’ po programmnym paketam) (Analysis of Linear Matrix Inequalities. A Guide to the Program Packages), St. Petersburg: S.-Peterburg. Gos. Univ., 2004.
Gusev, S.V. and Likhtarnikov, A.L., Essay on the History of the Kalman-Popov-Yakubovich Lemma and S-theorem, Avtom. Telemekh., 2006, no. 10, pp. 77–121.
Golub, G.H. and van Loan, C.F., Matrix Computations, Baltimore: Johns Hopkins Univ. Press, 1983.
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Original Russian Text © M.V. Khlebnikov, 2009, published in Avtomatika i Telemekhanika, 2009, No. 1, pp. 147–161.
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Khlebnikov, M.V. Robust filtering under nonrandom disturbances: The invariant ellipsoid approach. Autom Remote Control 70, 133–146 (2009). https://doi.org/10.1134/S000511790901010X
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DOI: https://doi.org/10.1134/S000511790901010X