Dynamic Systems Models New Methods of Parameter and State Estimation /

This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Mark...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Boguslavskiy, Josif A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Borodovsky, Mark (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Nonlinear Optics.
Mathematical models.
Aerospace engineering.
Astronautics.
Signal processing.
Social sciences-Mathematics.
Mathematical Modeling and Industrial Mathematics.
Aerospace Technology and Astronautics.
Signal, Speech and Image Processing .
Mathematics in Business, Economics and Finance.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares