Téléchargez le livre : Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Design, Analysis and Matlab Simulation de

Éditeur :

Springer


Paru le : 2013-01-26

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Description

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.
Pages
365 pages
Collection
n.c
Parution
2013-01-26
Marque
Springer
EAN papier
9783642348150
EAN EPUB
9783642348167
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
6113 Ko
Prix
147,69 €

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