
Identification of Parametric Models
from Experimental Data
Springer (Publisher)
Published on 19. October 2010
Book
Paperback/Softback
XVIII, 413 pages
978-1-84996-996-3 (ISBN)
Article exhausted; check different version
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.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 1997
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
XVIII, 413 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
658 gr
ISBN-13
978-1-84996-996-3 (9781849969963)
Schweitzer Classification
Other editions
Additional editions

Book
01/1997
Springer
€213.99
Article exhausted; check different version
Persons
Content
Introduction.- Structures.- Criteria.- Optimization.- Uncertainty.- Experiments.- Falsification.