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

Nonlinear System Identification From Classical Approaches to Neural Networks and Fuzzy Models / by Oliver Nelles.

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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Bibliographic Details
Main Author: Nelles, Oliver (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:Springer eBook Collection.
Subjects:
Control engineering.
Robotics.
Mechatronics.
Computational complexity.
Calculus of variations.
Computer simulation.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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