An Introduction to Identification

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."

Author: J. P. Norton, Engineering
Publisher: Dover Publications
Published: 04/01/2009
Pages: 320
Binding Type: Paperback
Weight: 0.75lbs
Size: 8.30h x 5.30w x 0.70d
ISBN13: 9780486469355
ISBN10: 0486469352
BISAC Categories:
- Science | System Theory
- Computers | Information Theory
- Computers | Computer Science

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