Dynamic Systems Models by Josif A. Boguslavskiy ; Edited By Mark Borodovsky

Full Title: Dynamic Systems Models: New Methods Of Parameter And State Estimation
Author/Editor(s): Josif A Boguslavskiy; Mark Borodovsky
ISBN: 3319040367, 9783319040363
Publisher: Springer
Published/Copyright Year: 2016
Language: English
Physical Description: online resource included,
Edition: 1st Edition 2016. [View All Editions]
Number of pages: 201 (XX, 201 p)
Categories:
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


Content:
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.
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 Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics. Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included. Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution.

Electronic Resources:
http://dx.doi.org/10.1007/978-3-319-04036-3

ISBNPlus ID: SPR.VC1.58108-11-6646311
Form: Nonfiction
LC Call No: QC174.7-175.36
Released Date: 20160323

Download BiBTeX of this book (.bib)
@book{isbnplus9783319040363,
 title={Dynamic Systems Models: New Methods Of Parameter And State Estimation},
 author={Josif A Boguslavskiy and Mark Borodovsky},
 isbn={9783319040363},
 url={http://isbnplus.org/9783319040363},
 year={2016},
 publisher={Springer}
}
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%0 Book
%T Dynamic Systems Models: New Methods Of Parameter And State Estimation
%A Josif A Boguslavskiy
%A Mark Borodovsky
%@ 9783319040363
%U http://isbnplus.org/9783319040363
%D 2016
%I Springer
Download 9783319040363.enw
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TY  - BOOK
T1  - Dynamic Systems Models: New Methods Of Parameter And State Estimation
A1  - Josif A Boguslavskiy
A1  - Mark Borodovsky
SN  - 9783319040363
UR  - http://isbnplus.org/9783319040363
Y1  - 2016
PB  - Springer
ER  - 
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APA Style:
Boguslavskiy, J.A. & Borodovsky, M. (2016). Dynamic Systems Models: New Methods Of Parameter And State Estimation. : Springer.

MLA Style:
Boguslavskiy, Josif A, and Mark Borodovsky. Dynamic Systems Models: New Methods Of Parameter And State Estimation. : Springer, 2016. Print.

Chicago Style:
Boguslavskiy, Josif A, and Mark Borodovsky. Dynamic Systems Models: New Methods Of Parameter And State Estimation. : Springer, 2016.