Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Kinematic Control Of Redundant Robot Arms Using Neural Networks

by Li
Save 35% Save 35%
Current price ₹8,851.00
Original price ₹13,616.00
Original price ₹13,616.00
Original price ₹13,616.00
(-35%)
₹8,851.00
Current price ₹8,851.00

Ships in 1-2 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9781119556961
  • Binding: Hardcover
  • Subject: Engineering
  • Publisher: Wiley
  • Publisher Imprint: Wiley-Blac
  • Publication Date:
  • Pages: 232
  • Original Price: USD 140.95
  • Language: English
  • Edition: N/A
  • Item Weight: 481 grams
  • BISAC Subject(s): Automation

About the Book 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.

SHUAI LI, PhD, is Assistant Professor in the Department of Computing at the Hong Kong Polytechnic University.

LONG JIN, PhD, is Postdoctoral Fellow in the Department of Computing at the Hong Kong Polytechnic University.

MOHAMMED AQUIL MIRZA, M.S., is a Doctorate Research Scholar with Hong Kong Polytechnic University.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us