Nonlinear system identification: from classical approaches to neural networks, fuzzy models, and gaussian processes
Auteur :
Nelles, Oliver
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030474416
Date de publication :
2 oct. 2023
Dimensions :
23,5 x 15,5 x 2,5 cm
Poids :
350 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.