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

This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential dif...

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Bibliographic Details

Main Author:	Nelles, Oliver (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	2nd ed. 2020.
Subjects:	Statistical physics. Control engineering. Robotics. Mechatronics. Computational complexity. Calculus of variations. Computer simulation. Applications of Nonlinear Dynamics and Chaos Theory. Control and Systems Theory. Control, Robotics, Mechatronics. Complexity. Calculus of Variations and Optimal Control; Optimization. Simulation and Modeling. Electronic books.
Online Access:	Connect to the full text of this electronic book