Dynamic Systems Models

Dynamic Systems Models

New Methods of Parameter and State Estimation

Boguslavskiy, Josif A.; Borodovsky, Mark

Springer International Publishing AG

04/2018

201

Mole

Inglês

9783319791418

15 a 20 dias

454

Descrição não disponível.
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
Aerospatial Dynamics;Assest Pricing;Biological Sequence Analysis;Hidden Markov Model;Inverse Problem;Parameter Estimation;Polynomial Approximation;Speech Recognition;quantitative finance