Dynamic Systems Models New Methods of Parameter and State Estimation /

• Main Author: Boguslavskiy, Josif A. (Author)
• Corporate Author: SpringerLink (Online service)
• Other Authors: Borodovsky, Mark (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 1st ed. 2016.
• Subjects: Physics.; Economics, Mathematical.; Mathematical models.; Statistical physics.; Aerospace engineering.; Astronautics.; Nonlinear Dynamics.; Mathematical Modeling and Industrial Mathematics.; Aerospace Technology and Astronautics.; Signal, Image and Speech Processing.; Quantitative Finance.

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...

Table of Contents:

• 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.