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Multiple-model filtering with multiple constraints

Citace: [] DUNÍK, J., ŠIMANDL, M., STRAKA, O. Multiple-model filtering with multiple constraints. In Proceedings of the American Control Conference. New York: IEEE, 2010. s. 6858-6863. ISBN: 978-1-4244-7427-1 , ISSN: 0743-1619
Jazyk publikace: eng
Anglický název: Multiple-model filtering with multiple constraints
Rok vydání: 2010
Místo konání: New York
Název zdroje: IEEE
Autoři: Ing. Jindřich Duník Ph.D. , Prof. Ing. Miroslav Šimandl CSc. , Ing. Ondřej Straka Ph.D.
Abstrakt EN: The paper deals with state estimation of nonlinear stochastic systems, where the state is subject to nonlinear equality constraints reflecting some physical or technological limitations. Usually, this problem of constrained state estimation is solved within the Kalman filtering framework. The goal of the paper is to provide a generalization of the solution to a multiplemodel multiple-constraint problem, where the two-step method for constraint application is adopted. In addition, the model weight computation is analyzed and a weight correction for the constrained estimation is proposed. The proposed method is illustrated in a numerical example.
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