This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in- vestigators. The authors' interest in optimal inputs first developed when F. E. Yates, an eminent ...
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This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the current state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in- vestigators. The authors' interest in optimal inputs first developed when F. E. Yates, an eminent physiologist, expressed the need for optimal or preferred inputs to estimate physiological parameters. The text assumes no previous knowledge of optimal control theory, numerical methods for solving two-point boundary-value problems, or system identification. As such it should be of interest to students as well as researchers in control engineering, computer science, biomedical en- gineering, operations research, and economics. In addition the sections on beam theory should be of special interest to mechanical and civil en- gineers and the sections on eigenvalues should be of interest to numerical analysts. The authors have tried to present a balanced viewpoint; however, primary emphasis is on those methods in which they have had first-hand experience. Their work has been influenced by many authors. Special acknowledgment should go to those listed above as well as R. Bellman, A. Miele, G. A. Bekey, and A. P. Sage. The book can be used for a two-semester course in control theory, system identification, and optimal inputs.
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Add this copy of Control, Identification, and Input Optimization to cart. $60.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2012 by Springer.
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New. Trade paperback (US). Glued binding. 442 p. Contains: Unspecified. Mathematical Concepts and Methods in Science and Engineering. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 900grams, ISBN: 0306408473.
Add this copy of Control, Identification, and Input Optimization to cart. $74.74, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1982 by Plenum Publishing Corporation.
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Fine. The covers look great. The binding is tight. Scuffed front flyleaf. The interior pages are clean and unmarked. A dust jacket is not included. Control, Identification, and Input Optimization: Vol. 25 of The Mathematical Concepts and Methods in Science and Engineering. Electronic delivery tracking will be issued free of charge. 442 pages. Mathematical Concepts and Methods in Science and Engineering.