An Introduction to Identification Contributor(s): Norton, J. P. (Author), Engineering (Author) |
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ISBN: 0486469352 ISBN-13: 9780486469355 Publisher: Dover Publications OUR PRICE: $16.10 Product Type: Paperback - Other Formats Published: April 2009 Annotation: This book gives a global picture of the current state of identification, from the reasons for mathematical modelling, through the theoretical underpinning, to details of a wide range of well-tried identification algorithms and their application. The limitations of present techniques and the practical constraints on their use are explored and illustrated by numerical examples. Introductions to areas of current research are included in a chapter on specialised topics. |
Additional Information |
BISAC Categories: - Science | System Theory - Computers | Information Theory - Computers | Computer Science |
Dewey: 003 |
LCCN: 2009002969 |
Series: Dover Books on Electrical Engineering |
Physical Information: 0.7" H x 5.3" W x 8.3" (0.75 lbs) 320 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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." |