Nonlinear System Identification From Classical Approaches to Neural Networks and Fuzzy Models by Nelles, Oliver PDF
Nonlinear System Identification From Classical Approaches to Neural Networks and Fuzzy Models by Nelles, Oliver is a comprehensive book that covers the topic of identifying nonlinear systems using traditional methods as well as neural networks and fuzzy models. The book provides a deep insight into the techniques and algorithms used for system identification, offering readers a wide range of tools to tackle complex nonlinear systems effectively. With 510 pages, this book is a valuable resource for researchers, academics, and practitioners in the field of system identification and control theory. The ISBN for Nonlinear System Identification From Classical Approaches to Neural Networks and Fuzzy Models by Nelles, Oliver is 978-3-540-22798-2, and it is published by Springer Berlin Heidelberg. In conclusion, this book offers a well-rounded exploration of nonlinear system identification techniques, making it a must-have for anyone interested in the subject.
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