Dynamic Systems Models - New Methods of Parameter and State Estimation (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2018
First published:	2016
Authors:	Josif A. Boguslavskiy
Editors:	Mark Borodovsky
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	201
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-79141-8
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > Chaos theory Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Promotions
LSN:	3-319-79141-9
Barcode:	9783319791418

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