Jinkun Liu

(Author)

Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems: Design, Analysis and MATLAB Simulation (2013)Paperback - 2013, 26 June 2015

Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems: Design, Analysis and MATLAB Simulation (2013)
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Print Length
365 pages
Language
English
Publisher
Springer
Date Published
26 Jun 2015
ISBN-10
364243455X
ISBN-13
9783642434556

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.

Product Details

Author:
Jinkun Liu
Book Edition:
2013
Book Format:
Paperback
Country of Origin:
NL
Date Published:
26 June 2015
Dimensions:
23.39 x 15.6 x 2.01 cm
Genre:
Science/Technology Aspects
ISBN-10:
364243455X
ISBN-13:
9783642434556
Language:
English
Location:
Berlin, Heidelberg
Pages:
365
Publisher:
Weight:
535.24 gm

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