Picture 1 of 22
Gallery
Picture 1 of 22
Have one to sell?
Subspace Identification for Linear Systems: Theory Implementation Applications
US $129.99
ApproximatelyRM 549.92
or Best Offer
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Free USPS Media MailTM.
Located in: Tolland, Connecticut, United States
Delivery:
Estimated between Sat, 16 Aug and Thu, 21 Aug to 94104
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:336116948110
Item specifics
- Condition
- Binding
- Hardcover
- Book Title
- Subspace Identification for Linear Systems: Theory â Implementa
- ISBN
- 9780792397175
About this product
Product Identifiers
Publisher
Springer
ISBN-10
0792397177
ISBN-13
9780792397175
eBay Product ID (ePID)
1083262
Product Key Features
Number of Pages
272 Pages
Language
English
Publication Name
Subspace Identification for Linear Systems : Theory-Implementation-Applications
Subject
Electrical, System Theory, Electronics / General
Publication Year
1996
Type
Textbook
Subject Area
Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Weight
18.3 Oz
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
96-161018
Dewey Edition
20
Reviews
'The book is definitely a must for academics and engineers who are interested in modern system identification techniques. Since the main algorithms are supplied on a disk accompanying the book, it is very easy to get started using the proposed algorithms.' T. McKelvey, International Journal of Adaptive Control and Signal Processing, 12:6, (1998)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
629.8312
Synopsis
Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministic-stochastic subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms, processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of Matlab files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the Matlab files to ten practical problems. Since all necessary data and Matlab files are included, the reader can easily step through these applications, and thus get more insight in the algorithms. Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization, mechatronics, chemical, electrical, mechanical and aeronautical engineering.
LC Classification Number
TK1-9971Q295QA402.3-
Item description from the seller
Seller feedback (1,728)
- q***y (870)- Feedback left by buyer.Past monthVerified purchaseGreat seller. Fast secure shipping, item as described. Thanks! A+#1!
- u***e (2746)- Feedback left by buyer.Past monthVerified purchaseAs described. Thanks
- f***_ (163)- Feedback left by buyer.Past monthVerified purchaseShipped fast and packed wonderfully
More to explore :
- Linear Algebra Textbooks,
- Life Application Study Bible Niv,
- Life Application Study Bible Books,
- Linear Algebra Textbooks in English,
- Linear Algebra Paperback Textbooks,
- Theory and Practice of Counseling and Psychotherapy,
- Linear Algebra 2000-2009 Publication Year Textbooks,
- Engineering & Technology Nonfiction Books Fiction & Game Theory,
- Puzzles, Trivia & Indoor Games Nonfiction Game Theory Paperbacks Books in English,
- Puzzles, Trivia & Indoor Games Nonfiction Game Theory Illustrated Paperbacks Books
Seller feedback (1,728)
- q***y (870)- Feedback left by buyer.Past monthVerified purchaseGreat seller. Fast secure shipping, item as described. Thanks! A+#1!
- u***e (2746)- Feedback left by buyer.Past monthVerified purchaseAs described. Thanks
- f***_ (163)- Feedback left by buyer.Past monthVerified purchaseShipped fast and packed wonderfully