Identification of Parametric Models

from Experimental Data

Eric Walter, Luc Pronzato (Autoren)

Buch | Hardcover

XVIII, 413 Seiten

1997 | 1997
Springer Berlin (Verlag)
978-3-540-76119-8 (ISBN)

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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.

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

Erscheint lt. Verlag	14.1.1997
Reihe/Serie	Communications and Control Engineering
Mitarbeit	Assistent: J. Norton
Zusatzinfo	XVIII, 413 p.
Verlagsort	London
Sprache	englisch
Maße	156 x 234 mm
Gewicht	734 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Maschinenbau
Schlagworte	CON_D045 • Control • Control Theory • Cost • Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik • Identification • Identifikation • Modelling • Optimization • Parameter • Parametric Models
ISBN-10	3-540-76119-5 / 3540761195
ISBN-13	978-3-540-76119-8 / 9783540761198
Zustand	Neuware