Average Reviews:
(More customer reviews)This book is very through in presenting methods of system identification...mathematically. However as with most good mathematical oriented books there are not a lot of practical design type problems. One other mark aginst the book is that similar notation is used for different topics, which can sometimes be a bit confusing. One thing I might recommend, to a potential buyer is that you take a course in random process, and possess a through understanding of signals and transforms. All in all though if a little more meat in terms of practicality were added I'd rate this book a five.
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A complete, coherent description of the theory, methodology, & practice of System Identification. This completely revised second edition introduces subspace methods that utilize frequency domain data, & general non-linear black box methods, including neural networks & neuro-fuzzy modeling.
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