Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

✍ Scribed by Oliver Nelles

Year: 2000
Tongue: English
Leaves: 401
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.

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