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Published by Dover Publications 4/1/2009, 2009
ISBN 10: 0486469352ISBN 13: 9780486469355
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Book
Paperback or Softback. Condition: New. An Introduction to Identification 0.75. Book.
Published by Dover Publications Inc., New York, 2009
ISBN 10: 0486469352ISBN 13: 9780486469355
Seller: Grand Eagle Retail, Wilmington, DE, U.S.A.
Book
Paperback. Condition: new. 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. Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Dover Publications Inc., New York, 2009
ISBN 10: 0486469352ISBN 13: 9780486469355
Seller: AussieBookSeller, Truganina, VIC, Australia
Book
Paperback. Condition: new. 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. Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.