Sinossi
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.
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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.
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An Introduction to Identification (Dover Books on Electrical Engineering)
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An Introduction to Identification
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Dover Publications, 2009
ISBN 10: 0486469352
ISBN 13: 9780486469355
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Introduction to Identification
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An Introduction to Identification (Paperback or Softback)
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Dover Publications 4/1/2009, 2009
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ISBN 13: 9780486469355
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An Introduction to Identification (Dover Books on Electrical Engineering)
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An Introduction to Identification (Paperback)
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Dover Publications Inc., New York, 2009
ISBN 10: 0486469352
ISBN 13: 9780486469355
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Paperback. Condizione: 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. Codice articolo 9780486469355
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An introduction to identification
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Dover Publications Inc., 2009
ISBN 10: 0486469352
ISBN 13: 9780486469355
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An Introduction to Identification (Dover Books on Electrical Engineering)
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An Introduction to Identification
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Dover Publications Inc., 2009
ISBN 10: 0486469352
ISBN 13: 9780486469355
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