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An Introduction to Identification

J P Norton Engineering

$27.95   $24.70

Paperback

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English
Dover
23 April 2009
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.

By:   ,
Imprint:   Dover
Country of Publication:   United States
Dimensions:   Height: 214mm,  Width: 136mm,  Spine: 16mm
Weight:   335g
ISBN:   9780486469355
ISBN 10:   0486469352
Series:   Dover Books on Electrical Engineering
Pages:   320
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Unspecified

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