An Introduction to Identification - Brossura

Norton, J. P.

Brossura

ISBN 10: 0486469352 ISBN 13: 9780486469355

Casa editrice: Dover Pubns, 2009

Riassunto

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.

Su questo libro

Product 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 identification algorithms and their applications. Numerical examples show how to apply modeling theories. 1986 edition.

Su questa edizione

• Editore: Dover Pubns
• Data di pubblicazione: 2009
• ISBN 10: 0486469352
• ISBN 13: 9780486469355
• Rilegatura: Copertina flessibile
• Numero di pagine: 310