首页|Findings in the Area of Intelligent Vehicles Reported from China University of G eosciences (Reinforcement Learning Formation Tracking of Networked Autonomous Su rface Vehicles With Bounded Inputs Via Cloud-supported Communication)
Findings in the Area of Intelligent Vehicles Reported from China University of G eosciences (Reinforcement Learning Formation Tracking of Networked Autonomous Su rface Vehicles With Bounded Inputs Via Cloud-supported Communication)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to newsreporting originating in Wuhan, Peop le’s Republic of China, by NewsRx journalists, research stated,“This article in vestigates formation tracking (FT) problem of the networked autonomous surface v ehicles(NASVs) with bounded inputs. In order to achieve distributed control, a prescribed-time observer isemployed to reshape the leader’s states for the foll ower ASVs, which can only receive the message fromthe neighbor ASVs.”
WuhanPeople’s Republic of ChinaAsiaIntelligent VehiclesTransportationEmerging TechnologiesMachine LearningReinforcement LearningChina University of Geosciences
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