Dynamic Systems Models

New Methods of Parameter and State Estimation

Nonfiction, Science & Nature, Science, Physics, Chaotic Behavior, Mathematics, Applied
Cover of the book Dynamic Systems Models by Josif A. Boguslavskiy, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Josif A. Boguslavskiy ISBN: 9783319040363
Publisher: Springer International Publishing Publication: March 22, 2016
Imprint: Springer Language: English
Author: Josif A. Boguslavskiy
ISBN: 9783319040363
Publisher: Springer International Publishing
Publication: March 22, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Mentoring Processes in Higher Education by Josif A. Boguslavskiy
Cover of the book Wagner’s Theory of Generalised Heaps by Josif A. Boguslavskiy
Cover of the book Pathways to a Sustainable Economy by Josif A. Boguslavskiy
Cover of the book Econometrics for Financial Applications by Josif A. Boguslavskiy
Cover of the book Creative Ways of Knowing in Engineering by Josif A. Boguslavskiy
Cover of the book Disgorgement of Profits by Josif A. Boguslavskiy
Cover of the book Partial Differential Equations by Josif A. Boguslavskiy
Cover of the book New Dualities of Supersymmetric Gauge Theories by Josif A. Boguslavskiy
Cover of the book Borders, Bodies and Narratives of Crisis in Europe by Josif A. Boguslavskiy
Cover of the book Big Data Factories by Josif A. Boguslavskiy
Cover of the book Ted Honderich on Consciousness, Determinism, and Humanity by Josif A. Boguslavskiy
Cover of the book Advances in Human Aspects of Transportation by Josif A. Boguslavskiy
Cover of the book Anaerobes in Biotechnology by Josif A. Boguslavskiy
Cover of the book Knowledge Management and Acquisition for Intelligent Systems by Josif A. Boguslavskiy
Cover of the book Doing Business In Ghana by Josif A. Boguslavskiy
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy