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

The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and th...

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Bibliographische Detailangaben

1. Verfasser:	Nelles, Oliver (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berlin, Heidelberg Springer Berlin Heidelberg 2001
Schlagworte:	Engineering Control Control, Robotics, Mechatronics Complexity Calculus of Variations and Optimal Control; Optimization Simulation and Modeling Computer simulation Calculus of variations Complexity, Computational Control engineering Robotics Mechatronics Nichtlineares dynamisches System Systemidentifikation
Online-Zugang:	FHI01 BTU01 URL des Erstveröffentlichers
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