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

Design, Analysis and Matlab Simulation

Nonfiction, Science & Nature, Technology, Automation, Engineering, Mechanical
Cover of the book Radial Basis Function (RBF) Neural Network Control for Mechanical Systems by Jinkun Liu, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jinkun Liu ISBN: 9783642348167
Publisher: Springer Berlin Heidelberg Publication: January 26, 2013
Imprint: Springer Language: English
Author: Jinkun Liu
ISBN: 9783642348167
Publisher: Springer Berlin Heidelberg
Publication: January 26, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Berlin Heidelberg

Cover of the book Philosophie der Führung by Jinkun Liu
Cover of the book CSR und Interne Kommunikation by Jinkun Liu
Cover of the book Bauakustische Messungen by Jinkun Liu
Cover of the book Soft Plate and Impact Tectonics by Jinkun Liu
Cover of the book Killing in a Gray Area between Humanitarian Law and Human Rights by Jinkun Liu
Cover of the book The Semantic Web: ESWC 2012 Satellite Events by Jinkun Liu
Cover of the book Neurofibromatosis Type 1 by Jinkun Liu
Cover of the book Managementwissen für Naturwissenschaftler und Ingenieure by Jinkun Liu
Cover of the book Degenerative Erkrankungen der Halswirbelsäule by Jinkun Liu
Cover of the book Complexity Management with the K-Method by Jinkun Liu
Cover of the book Biopolymers from Renewable Resources by Jinkun Liu
Cover of the book Sciences of Geodesy - II by Jinkun Liu
Cover of the book Impact of Molecular Biology and New Technical Developments in Diagnostic Imaging by Jinkun Liu
Cover of the book E-Learning Paradigms and Applications by Jinkun Liu
Cover of the book Organization of Afferents from the Brain Stem Nuclei to the Cerebellar Cortex in the Cat by Jinkun Liu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy