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

by Oliver Nelles

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.

803 pages, Hardcover

First published November 6, 2000