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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: 9783642348150
Price: 199.78 EUR
Availability: InStock

Design, Analysis and Matlab Simulation

Autor: Jinkun Liu

Jazyk:

Väzba: Pevná

Vydavateľ: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

199.78 €

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

Informácie o knihe

Autor

Jinkun Liu

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2013

Stránok

365

EAN

9783642348150

ISBN

3642348157

Enbook ID

01662604

Vydavateľ

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnosť

684

Rozmery

164 x 241 x 27

Kompletný popis

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.

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

Design, Analysis and Matlab Simulation

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