The Resource Dynamic Systems Models : New Methods of Parameter and State Estimation, by Josif A. Boguslavskiy ; edited by Mark Borodovsky, (electronic resource)

Dynamic Systems Models : New Methods of Parameter and State Estimation, by Josif A. Boguslavskiy ; edited by Mark Borodovsky, (electronic resource)

Label
Dynamic Systems Models : New Methods of Parameter and State Estimation
Title
Dynamic Systems Models
Title remainder
New Methods of Parameter and State Estimation
Statement of responsibility
by Josif A. Boguslavskiy ; edited by Mark Borodovsky
Creator
Contributor
Author
Editor
Provider
Subject
Language
eng
Summary
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
http://library.link/vocab/creatorName
Boguslavskiy, Josif A
Image bit depth
0
LC call number
QC174.7-175.36
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Borodovsky, Mark.
  • SpringerLink
http://library.link/vocab/subjectName
  • Physics
  • Economics, Mathematical
  • Mathematical models
  • Statistical physics
  • Aerospace engineering
  • Astronautics
  • Physics
  • Nonlinear Dynamics
  • Mathematical Modeling and Industrial Mathematics
  • Aerospace Technology and Astronautics
  • Signal, Image and Speech Processing
  • Quantitative Finance
Label
Dynamic Systems Models : New Methods of Parameter and State Estimation, by Josif A. Boguslavskiy ; edited by Mark Borodovsky, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XX, 201 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783319040363
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-04036-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-04036-3
Label
Dynamic Systems Models : New Methods of Parameter and State Estimation, by Josif A. Boguslavskiy ; edited by Mark Borodovsky, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XX, 201 p.
File format
multiple file formats
Form of item
electronic
Isbn
9783319040363
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-04036-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-04036-3

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