Kinematic Control of Redundant Robot Arms Using Neural Networks

Released on by Shuai Li
preview-18

  • Kinematic Control of Redundant Robot Arms Using Neural Networks Book Detail

  • Author : Shuai Li
  • Release Date : 2019-02-12
  • Publisher : John Wiley & Sons
  • Genre : Technology & Engineering
  • Pages : 278
  • ISBN 13 : 1119556996
  • File Size : 24,24 MB
DOWNLOAD BOOK

Kinematic Control of Redundant Robot Arms Using Neural Networks by Shuai Li PDF Summary

Book Description: Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations. Kinematic Control of Redundant Robot Arms Using Neural Networks is divided into three parts: Neural Networks for Serial Robot Arm Control; Neural Networks for Parallel Robot Control; and Neural Networks for Cooperative Control. The book starts by covering zeroing neural networks for control, and follows up with chapters on adaptive dynamic programming neural networks for control; projection neural networks for robot arm control; and neural learning and control co-design for robot arm control. Next, it looks at robust neural controller design for robot arm control and teaches readers how to use neural networks to avoid robot singularity. It then instructs on neural network based Stewart platform control and neural network based learning and control co-design for Stewart platform control. The book finishes with a section on zeroing neural networks for robot arm motion generation. Provides comprehensive understanding on robot arm control aided with neural networks Presents neural network-based control techniques for single robot arms, parallel robot arms (Stewart platforms), and cooperative robot arms Provides a comparison of, and the advantages of, using neural networks for control purposes rather than traditional control based methods Includes simulation and modelling tasks (e.g., MATLAB) for onward application for research and engineering development By focusing on robot arm control aided by neural networks whilst examining central topics surrounding the field, Kinematic Control of Redundant Robot Arms Using Neural Networks is an excellent book for graduate students and academic and industrial researchers studying neural dynamics, neural networks, analog and digital circuits, mechatronics, and mechanical engineering.

Disclaimer: www.yourbookbest.com does not own Kinematic Control of Redundant Robot Arms Using Neural Networks books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

AI based Robot Safe Learning and Control

AI based Robot Safe Learning and Control

File Size : 64,64 MB
Total View : 1546 Views
DOWNLOAD

This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which