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

Name: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 01662604
Price: 81176 HUF
Availability: InStock
Author: Jinkun Liu
ISBN: 9783642348150

Design, Analysis and Matlab Simulation

Jinkun Liu

Language

English

Book Hardback

Libristo code: 01662604

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, January 2013

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need f... Full description

Libristo code: 01662604

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81 176 Ft

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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.