Nonlinear System Identification

From Classical Approaches to Neural Networks and Fuzzy Models

Autori

• Oliver Nelles

Parametri

Pagine

804pagine

Tempo di lettura

29ore

• Computer, IT, programmazione

Maggiori informazioni sul libro

Focusing on nonlinear system identification, this book equips engineers and scientists with essential principles and practical techniques for tackling real-world problems. It emphasizes intuitive understanding over formal proofs, using minimal mathematics and abundant illustrations. With a foundation in matrix algebra, signals and systems, and statistics, it also serves as an introduction to linear system identification and optimization methods. The evolution of the field, enhanced by neural networks and fuzzy models, enables broader applicability across diverse systems, despite their unique characteristics.

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Lingua: Inglese

Pubblicato: 2010

(In brossura)