Boguslavskiy, Josif A.
Dynamic Systems Models New Methods of Parameter and State Estimation
Buch

From the Contents: Linear Estimators of a Random-Parameter Vector.-Basis of the Method of Polynomial Approximation -- Polynomial Approximation and Optimization of Control -- Polynomial Approximation Technique Applied to Inverse Vector Functions -- Identification of Parameters of Nonlinear Dynamical Systems: Smoothing, Filtering and Forecasting the State Vector -- Estimating Status Vectors from Sight Angles -- Estimation of Parameters of Stochastic Models -- Designing the Control of Motion to a Target Point of Phase Space -- Inverse Problems of Dynamics Algorithm for Identifying Parameters of an Aircraft


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Personen: Boguslavskiy, Josif A.

Schlagwörter: Statistik Modelle dynamische Systeme Markov Modell

Interessenkreis: Fremdsprachig

MR 2100 B675-01

Boguslavskiy, Josif A.:
Dynamic Systems Models : New Methods of Parameter and State Estimation / by Josif A. Boguslavskiy ; edited by Mark Borodovsky. - 1st ed. 2016. - Cham : Springer, 2016. - XX, 201 S. - Description based upon print version of record
ISBN 978-3-319-04035-6

Zugangsnummer: 00008179 - Barcode: 2-9184204-4-00008697-4
Sozialwissenschaftliche Theorien und Methoden - Buch