The Resource Dynamic systems models : new methods of parameter and state estimation, Josif A. Boguslavskiy ; Mark Borodovsky, editor

Dynamic systems models : new methods of parameter and state estimation, Josif A. Boguslavskiy ; Mark Borodovsky, editor

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
Josif A. Boguslavskiy ; Mark Borodovsky, editor
Creator
Contributor
Author
Editor
Subject
Genre
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
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Boguslavskiĭ, I. A.
Dewey number
519.5/44
Index
no index present
LC call number
QA276.8
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Borodovsky, Mark
http://library.link/vocab/subjectName
  • Estimation theory
  • Dynamics
  • Dynamics
  • Estimation theory
  • Mathematics
  • Technology & Engineering
  • Technology & Engineering
  • Mathematical modelling
  • Aerospace & aviation technology
  • Imaging systems & technology
  • Finance & accounting
  • Science
  • Nonlinear science
Label
Dynamic systems models : new methods of parameter and state estimation, Josif A. Boguslavskiy ; Mark Borodovsky, editor
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-04036-3
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
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
Extent
1 online resource (xx, 201 pages)
File format
unknown
Form of item
online
Isbn
9783319040356
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-04036-3
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)945731193
  • (OCoLC)ocn945731193
Label
Dynamic systems models : new methods of parameter and state estimation, Josif A. Boguslavskiy ; Mark Borodovsky, editor
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-04036-3
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
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
Extent
1 online resource (xx, 201 pages)
File format
unknown
Form of item
online
Isbn
9783319040356
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-04036-3
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)945731193
  • (OCoLC)ocn945731193

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