LEADER 03891nam 22006855 450 001 9910299586703321 005 20230218123354.0 010 $a981-10-4947-5 024 7 $a10.1007/978-981-10-4947-7 035 $a(CKB)3710000001394099 035 $a(DE-He213)978-981-10-4947-7 035 $a(MiAaPQ)EBC4868968 035 $a(PPN)201469766 035 $a(EXLCZ)993710000001394099 100 $a20170531d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompetition-Based Neural Networks with Robotic Applications /$fby Shuai Li, Long Jin 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 121 p. 44 illus.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 311 $a981-10-4946-7 320 $aIncludes bibliographical references at the end of each chapters. 327 $aCompetition Aided with Discrete -- Time Dynamic Feedback -- Competition Aided with Continuous -- Time Nonlinear Model -- Competition Aided with Finite -- time Neural Network -- Competition based on Selective Positive-negative Feedback -- Distributed Competition in Dynamic Networks -- Competition-based Distributed Coordination Control of Robots. 330 $aFocused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots. Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 606 $aComputational intelligence 606 $aControl engineering 606 $aRobotics 606 $aAutomation 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aComputational Intelligence 606 $aControl, Robotics, Automation 606 $aArtificial Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aComputational intelligence. 615 0$aControl engineering. 615 0$aRobotics. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science). 615 14$aComputational Intelligence. 615 24$aControl, Robotics, Automation. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a006.32 700 $aLi$b Shuai$4aut$4http://id.loc.gov/vocabulary/relators/aut$0891567 702 $aJin$b Long$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299586703321 996 $aCompetition-Based Neural Networks with Robotic Applications$92541959 997 $aUNINA