Name: Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems de Liu(Springer Verlag Gmbh) (en Inglés)
SKU: 62114169
Price: 154.44 USD
Availability: InStock
Author: Liu Jinkun
ISBN: 9783642434556

portada Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems de Liu(Springer Verlag Gmbh) (en Inglés)

Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems de Liu(Springer Verlag Gmbh) (en Inglés)

Formato

Libro Físico

Editorial

Springer Verlag Gmbh

Autor

Liu Jinkun

Idioma

Inglés

N° páginas

365

Encuadernación

Tapa Blanda

ISBN13

9783642434556

Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems de Liu(Springer Verlag Gmbh) (en Inglés)

Liu Jinkun (Autor) · Springer Verlag Gmbh · Tapa Blanda

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Reseña del libro "Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems de Liu(Springer Verlag Gmbh) (en Inglés)"

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design. This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.