Nonlinear system identification: from classical approaches to neural networks, fuzzy models, and gaussian processes
Auteur :
Nelles, Oliver
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030474386
Date de publication :
30 sept. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems.