03891nam 22006855 450 991029958670332120230218123354.0981-10-4947-510.1007/978-981-10-4947-7(CKB)3710000001394099(DE-He213)978-981-10-4947-7(MiAaPQ)EBC4868968(PPN)201469766(EXLCZ)99371000000139409920170531d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierCompetition-Based Neural Networks with Robotic Applications /by Shuai Li, Long Jin1st ed. 2018.Singapore :Springer Nature Singapore :Imprint: Springer,2018.1 online resource (XV, 121 p. 44 illus.) SpringerBriefs in Applied Sciences and Technology,2191-5318981-10-4946-7 Includes bibliographical references at the end of each chapters.Competition 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.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.SpringerBriefs in Applied Sciences and Technology,2191-5318Computational intelligenceControl engineeringRoboticsAutomationArtificial intelligenceNeural networks (Computer science)Computational IntelligenceControl, Robotics, AutomationArtificial IntelligenceMathematical Models of Cognitive Processes and Neural NetworksComputational intelligence.Control engineering.Robotics.Automation.Artificial intelligence.Neural networks (Computer science).Computational Intelligence.Control, Robotics, Automation.Artificial Intelligence.Mathematical Models of Cognitive Processes and Neural Networks.006.32Li Shuaiauthttp://id.loc.gov/vocabulary/relators/aut891567Jin Longauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299586703321Competition-Based Neural Networks with Robotic Applications2541959UNINA