An Introduction to Identification (Paperback)

Advanced undergraduates and graduate students of electrical, chemical, mechanical, and environmental engineering will appreciate this text for a course in systems identification. In addition to the theoretical basis for mathematical modeling, it covers a variety of tried-and-true identification algorithms and their applications. Moreover, its broad view and fairly modest mathematical level offer readers a quick appraisal of established methods and their limitations. In addition to surveys covering classical methods of identification -- including impulse, step, and sine-wave testing -- and identification based on correlation function, the text examines least-squares model fitting, statistical properties of estimators, optimal estimation, and Bayes and maximum-likelihood estimators. Other topics include experiment design and choice of model structure as well as model validation. Numerical examples show students how to apply the modeling theories, and a chapter on specialized topics introduces research areas.

General

Imprint:	Dover Publications Inc.
Country of origin:	United States
Series:	Dover Books on Electrical Engineering
Release date:	April 2009
First published:	April 2009
Authors:	J.P. Norton • Engineering
Dimensions:	215 x 136 x 17mm (L x W x T)
Format:	Paperback
Pages:	310
ISBN-13:	978-0-486-46935-5
Categories:	Books > Reference & Interdisciplinary > General Books > Science & Mathematics > Mathematics > General Books > Science & Mathematics > Science: general issues > General Promotions
LSN:	0-486-46935-2
Barcode:	9780486469355

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