- Hardcover: 672 pages
- Publisher: Prentice Hall; 2 edition (January 8, 1999)
- Language: English
- ISBN-10: 0136566952
- ISBN-13: 978-0136566953
- Product Dimensions: 7 x 1.5 x 9.3 inches
- Shipping Weight: 2.6 pounds (View shipping rates and policies)
- Average Customer Review: 16 customer reviews
- Amazon Best Sellers Rank: #1,183,323 in Books (See Top 100 in Books)
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System Identification: Theory for the User (2nd Edition) 2nd Edition
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From the Publisher
Describes the diverse area of identification algorithms within a coherent framework. An account of underlying principles, main theoretical results as well as algorithms and practical aspects. For Sr/Grad course or systems identification in EE, ME, CHE (usually taught by controls and systems people). --This text refers to an out of print or unavailable edition of this title.
From the Back Cover
The field's leading text, now completely updated.
Modeling dynamical systems — theory, methodology, and applications.
Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB.
Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques:
- Nonparametric time-domain and frequency-domain methods.
- Parameter estimation methods in a general prediction error setting.
- Frequency domain data and frequency domain interpretations.
- Asymptotic analysis of parameter estimates.
- Linear regressions, iterative search methods, and other ways to compute estimates.
- Recursive (adaptive) estimation techniques.
Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models.
The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.
Top customer reviews
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The "theory" part in the title is dead on, but what about the "for the user" part? What user is this referring to, an ivory tower professor? Most of the problems at the end of each chapter begin with "prove", which in my opinion makes this a math book and not an engineering text. A practical example never surfaces in the text.
Many years ago I was so fortunate to be able to attend a Matlab organized conference in Boston near MIT. As part of this conference a System ID Toolbox workshop was given by Prof. Ljung. It was this workshop, this Toolbox and this text, that took systems ID from my "basement" levels to the very applied levels. Even though I am now retired, I still spend most my days trying to keep up with the advances in Control Systems. I gave my old copy of this book to an ex-colleague. Now I miss the book; so I just ordered another copy.
Even with a strong systems background, this book is rarely helpful.
This book has all the options, the "theory for the user" are the "kitchen recipies" proper of the topic, this is the techniques that you can use without understand the background, and in the other hand it has all the neccesary theoretical support to develop a clear and complete serious idea of the subject, in which case the posibility of gain a much more profound comprehension of the System Identification field is at hand in the text of the book.This is a very specific speciallity book.
The notation can be confusing at first, but it should not be a decisive point for someone who is ready to learn the System Identification subject, in other words, if you have the necessary prerrequisites for study this topic (and you must have it if you has reached this far) the notation wont be a major problem.
Excellent binding, a high quality product in all aspects.
(Sorry for mi English)
Most recent customer reviews
is very confusing and it is very easy to get lost due to this careles