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Numerical Studies in Nonlinear Filtering (Lecture Notes in Control and Information Sciences, 65) - Softcover
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Numerical Studies in Nonlinear Filtering
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Numerical Studies in Nonlinear Filtering
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Numerical Studies in Nonlinear Filtering (Lecture Notes in Control and Information Sciences, 65)
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Numerical Studies in Nonlinear Filtering
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Numerical Studies in Nonlinear Filtering (Lecture Notes in Control and Information Sciences)
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Paperback. Condition: Brand New. 1985 edition. 288 pages. 9.60x6.69x0.60 inches. In Stock. Seller Inventory # x-3540139583
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Numerical Studies in Nonlinear Filtering
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Springer Berlin Heidelberg, 1984
ISBN 10: 3540139583
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Preliminaries.- Estimation of parameters via state observation.- Filtering via Markov chains approximation.- A Kalman filter for a class of nonlinear stochastic systems.- Approximating filters for continuous-time systems with interrupted observations.- Esti. Seller Inventory # 4882415
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Numerical Studies in Nonlinear Filtering
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Springer Berlin Heidelberg Dez 1984, 1984
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Preliminaries.- Estimation of parameters via state observation.- Filtering via Markov chains approximation.- A Kalman filter for a class of nonlinear stochastic systems.- Approximating filters for continuous-time systems with interrupted observations.- Estimation in a multitarget environment.- State and parameter estimation.- State estimation for systems driven by wiener and poisson processes.- Prediction via Markov chains approximation.- Some extensions of linear filtering. 288 pp. Englisch. Seller Inventory # 9783540139584
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Numerical Studies in Nonlinear Filtering
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Springer, Springer Dez 1984, 1984
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Preliminaries.- Estimation of parameters via state observation.- Filtering via Markov chains approximation.- A Kalman filter for a class of nonlinear stochastic systems.- Approximating filters for continuous-time systems with interrupted observations.- Estimation in a multitarget environment.- State and parameter estimation.- State estimation for systems driven by wiener and poisson processes.- Prediction via Markov chains approximation.- Some extensions of linear filtering.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch. Seller Inventory # 9783540139584
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