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The Resource Competition-Based Neural Networks with Robotic Applications

Competition-Based Neural Networks with Robotic Applications

Label
Competition-Based Neural Networks with Robotic Applications
Title
Competition-Based Neural Networks with Robotic Applications
Creator
Contributor
Subject
Language
eng
Summary
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
Member of
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Li, Shuai
Dewey number
620
Index
no index present
LC call number
TA1-2040
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Jin, Long
Series statement
SpringerBriefs in Applied Sciences and Technology
http://library.link/vocab/subjectName
  • Neural networks
  • Robotics
Label
Competition-Based Neural Networks with Robotic Applications
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Acknowledgements; Contents; 1 Competition Aided with Discrete-Time Dynamic Feedback; 1.1 Introduction; 1.2 Problem Definition; 1.3 Model Formulation; 1.4 Theoretical Results; 1.5 Illustrative Examples; 1.5.1 Discrete-Time Static Competition; 1.5.2 Discrete-Time Dynamic Competition; 1.6 Summary; References; 2 Competition Aided with Continuous-Time Nonlinear Model; 2.1 Introduction; 2.2 The Model; 2.3 Theoretical Analysis and Results; 2.4 Illustrative Examples; 2.4.1 Static Competition; 2.4.2 Dynamic Competition; 2.5 Summary; References
  • 3 Competition Aided with Finite-Time Neural Network3.1 Introduction; 3.2 Model Description; 3.3 Convergence Analysis; 3.4 An Illustrative Example; 3.4.1 Accuracy; 3.4.2 Convergence Speed; 3.4.3 Comparisons on Computational Efficiency in Numerical Simulations; 3.4.4 Sensitivity to Additive Noise; 3.4.5 Robustness Against Time Delay; 3.4.6 Discussion; 3.5 Solving k-WTA with the Proposed Neural Network; 3.5.1 Quadratic Programming Formulation for k-TWA; 3.5.2 Theoretical Results for Solving k-WTA with the Proposed Neural Network; 3.5.3 k-WTA Simulations; 3.6 Summary; References
  • 4 Competition Based on Selective Positive-Negative Feedback4.1 Introduction; 4.2 Preliminaries; 4.3 The Winner-Take-All Neural Network; 4.3.1 The Neural Network Based Winner-Take-All Problem; 4.3.2 Neuro-Dynamics; 4.4 Convergence Results; 4.5 Discussion on One-Sided Competition Versus Closely-Matched Competition; 4.6 Simulation Examples; 4.6.1 Static Competition; 4.6.2 Dynamic Competition; 4.7 Summary; References; 5 Distributed Competition in Dynamic Networks; 5.1 Introduction; 5.2 Problem Definition: Distributed WTA on Graphs; 5.3 Distributed WTA Protocol; 5.3.1 Basic Properties
  • 5.4 Convergence Analysis5.4.1 Global Convergence to the Equilibrium Point Set; 5.4.2 Instability of Non-WTA Solutions; 5.4.3 Global Stability of the WTA Solution; 5.5 Numerical Validation; 5.6 Summary; References; 6 Competition-Based Distributed Coordination Control of Robots; 6.1 Introduction; 6.2 Preliminary and Problem Formulation; 6.2.1 Redundant Robot Manipulator; 6.2.2 Problem Definitions and Assumptions; 6.3 Dynamic Task Allocation with Limited Communications; 6.4 Illustrative Example; 6.5 Summary; References
Dimensions
unknown
Extent
1 online resource (132 pages).
Form of item
online
Isbn
9789811049477
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-4947-7
Specific material designation
remote
System control number
  • ocn989818971
  • (OCoLC)989818971
Label
Competition-Based Neural Networks with Robotic Applications
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Acknowledgements; Contents; 1 Competition Aided with Discrete-Time Dynamic Feedback; 1.1 Introduction; 1.2 Problem Definition; 1.3 Model Formulation; 1.4 Theoretical Results; 1.5 Illustrative Examples; 1.5.1 Discrete-Time Static Competition; 1.5.2 Discrete-Time Dynamic Competition; 1.6 Summary; References; 2 Competition Aided with Continuous-Time Nonlinear Model; 2.1 Introduction; 2.2 The Model; 2.3 Theoretical Analysis and Results; 2.4 Illustrative Examples; 2.4.1 Static Competition; 2.4.2 Dynamic Competition; 2.5 Summary; References
  • 3 Competition Aided with Finite-Time Neural Network3.1 Introduction; 3.2 Model Description; 3.3 Convergence Analysis; 3.4 An Illustrative Example; 3.4.1 Accuracy; 3.4.2 Convergence Speed; 3.4.3 Comparisons on Computational Efficiency in Numerical Simulations; 3.4.4 Sensitivity to Additive Noise; 3.4.5 Robustness Against Time Delay; 3.4.6 Discussion; 3.5 Solving k-WTA with the Proposed Neural Network; 3.5.1 Quadratic Programming Formulation for k-TWA; 3.5.2 Theoretical Results for Solving k-WTA with the Proposed Neural Network; 3.5.3 k-WTA Simulations; 3.6 Summary; References
  • 4 Competition Based on Selective Positive-Negative Feedback4.1 Introduction; 4.2 Preliminaries; 4.3 The Winner-Take-All Neural Network; 4.3.1 The Neural Network Based Winner-Take-All Problem; 4.3.2 Neuro-Dynamics; 4.4 Convergence Results; 4.5 Discussion on One-Sided Competition Versus Closely-Matched Competition; 4.6 Simulation Examples; 4.6.1 Static Competition; 4.6.2 Dynamic Competition; 4.7 Summary; References; 5 Distributed Competition in Dynamic Networks; 5.1 Introduction; 5.2 Problem Definition: Distributed WTA on Graphs; 5.3 Distributed WTA Protocol; 5.3.1 Basic Properties
  • 5.4 Convergence Analysis5.4.1 Global Convergence to the Equilibrium Point Set; 5.4.2 Instability of Non-WTA Solutions; 5.4.3 Global Stability of the WTA Solution; 5.5 Numerical Validation; 5.6 Summary; References; 6 Competition-Based Distributed Coordination Control of Robots; 6.1 Introduction; 6.2 Preliminary and Problem Formulation; 6.2.1 Redundant Robot Manipulator; 6.2.2 Problem Definitions and Assumptions; 6.3 Dynamic Task Allocation with Limited Communications; 6.4 Illustrative Example; 6.5 Summary; References
Dimensions
unknown
Extent
1 online resource (132 pages).
Form of item
online
Isbn
9789811049477
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-4947-7
Specific material designation
remote
System control number
  • ocn989818971
  • (OCoLC)989818971

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