Identification of Parametric Models

from Experimental Data
1. Auflage. 1997
ISBN: 978-3-540-76119-8
Verlag: Springer

Buch, Englisch, 413 Seiten, HC runder Rücken kaschiert, Format (B × H): 161 mm x 240 mm, Gewicht: 1730 g

Reihe: Communications and Control Engineering

The identification of parametric models from experimental data is a fundamental activity among researchers and engineers in pure and applied sciences. This work addresses the topic by examining, among others, the following areas:• choice of an appropriate model structure which allows the estimation of all parameters;• choice of a quality criterion for rating models;• incorporation of prior knowledge and objectives and guarding against possible outliers;• optimization of the selected criterion and simple yet exact evaluation of characteristics;• evaluation of uncertainty in estimated parameters;• design of experimental conditions for the collection of the most pertinent information given prior constraints and objectives.Identification of Parametric Models deals with these questions in a straightforward style while providing a global vision of the methodology.Suitable for engineers and researchers who practise mathematical modelling from experimental data, graduate students who wish to become acquainted with the field, this text will also be a valuable resource for specialists in the field.

Zielgruppe

Research

Autoren/Hrsg.

Walter, Eric

Pronzato, Luc

Weitere Mitwirkende

Norton, J.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Inhaltsverzeichnis

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