Identification of parametric models : from experimental data

Bibliographic Information

Identification of parametric models : from experimental data

Éric Walter and Luc Pronzato ; translated from an updated French version by the authors, with the help of John Norton

(Communications and control engineering)

Springer , Masson, c1997

Other Title

Identification de modèles paramétriques à partir de données expérimentales

Available at  / 25 libraries

Search this Book/Journal

Note

Translated from the French

Includes bibliographical references (p. [381]-403) and index

Description and Table of Contents

Description

The presentation of a coherent methodology for the estimation of the parameters of mathematical models from experimental data is examined in this volume. Many topics are covered including the choice of the structure of the mathematical model, the choice of a performance criterion to compare models, the optimization of this performance criterion, the evaluation of the uncertainty in the estimated parameters, the design of experiments so as to get the most relevant data and the critical analysis of results. There are also several features unique to the work such as an up-to-date presentation of the methodology for testing models for identifiability and distinguishability and a comprehensive treatment of parametric optimization which includes greater consider ation of numerical aspects and which examines recursive and non-recursive methods for linear and nonlinear models.

Table of Contents

Introduction.- Structures.- Criteria.- Optimization.- Uncertainty.- Experiments.- Falsification.

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

  • NCID
    BA29692602
  • ISBN
    • 3540761195
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Original Language Code
    fre
  • Place of Publication
    London,Paris
  • Pages/Volumes
    xviii, 413 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
Page Top