SpringerBriefs in Applied Sciences and Technology

Competition-Based Neural Networks with Robotic Applications

Authors: Li, Shuai, Jin, Long

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  • The first book to solve competition-based problems by means of various centralized or distributed neural network models
    Includes theoretical analyses, computer simulations, and robotic applications in neurocomputing fields
    Paves the way for the competition-based cooperative control of multiple redundant manipulators with limited communications 

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-981-10-4947-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-981-10-4946-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots.

Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems.

Table of contents (6 chapters)

  • Competition Aided with Discrete-Time Dynamic Feedback

    Li, Shuai (et al.)

    Pages 1-12

    Preview Buy Chapter 30,19 €
  • Competition Aided with Continuous-Time Nonlinear Model

    Li, Shuai (et al.)

    Pages 13-23

    Preview Buy Chapter 30,19 €
  • Competition Aided with Finite-Time Neural Network

    Li, Shuai (et al.)

    Pages 25-55

    Preview Buy Chapter 30,19 €
  • Competition Based on Selective Positive-Negative Feedback

    Li, Shuai (et al.)

    Pages 57-79

    Preview Buy Chapter 30,19 €
  • Distributed Competition in Dynamic Networks

    Li, Shuai (et al.)

    Pages 81-102

    Preview Buy Chapter 30,19 €

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-981-10-4947-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-981-10-4946-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Competition-Based Neural Networks with Robotic Applications
Authors
Series Title
SpringerBriefs in Applied Sciences and Technology
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
The Author(s)
eBook ISBN
978-981-10-4947-7
DOI
10.1007/978-981-10-4947-7
Softcover ISBN
978-981-10-4946-0
Series ISSN
2191-530X
Edition Number
1
Number of Pages
XV, 121
Number of Illustrations
44 b/w illustrations
Topics