Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes by Nelles, Oliver
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Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes by Nelles, Oliver

Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes

Springer
Price:
$123.74

Description


Author: Oliver Nelles
Publisher: Springer
Published: 09/30/2022
Pages: 1225
Binding Type: Hardcover
Weight: 4.70lbs
Size: 9.37h x 6.22w x 1.97d
ISBN13: 9783030474386
ISBN10: 3030474380
BISAC Categories:
- Science | Chaotic Behavior in Systems
- Technology & Engineering | Automation
- Technology & Engineering | Engineering (General)

About the Author

Oliver Nelles was born in Frankfurt (Main), Germany, and got his Master's and Ph.D. degree in Electrical Engineering and Automatic Control at the Technical University of Darmstadt. After being a Post-Doc at the Department of Mechanical Engineering at UC Berkeley he worked for Siemens VDO Automotive in Regensburg. During his five years in Regensburg he was project and group leader in the field of transmission control. Since 2004 he assumed a position as Professor for Automatic Control - Mechatronics at the University of Siegen. Oliver Nelles' key research areas are: machine learning, system identification, nonlinear dynamic systems & control, design of experiments (DoE), fault diagnosis.