首页|Studies from Guangdong Ocean University Reveal New Findings on Robotics (Observe r-Based Adaptive Prescribed- Time H [ [ ]] Coordinated Control for Multiple Robot Manipulators With Prescribed Performance and Input Quantization)
Studies from Guangdong Ocean University Reveal New Findings on Robotics (Observe r-Based Adaptive Prescribed- Time H [ [ ]] Coordinated Control for Multiple Robot Manipulators With Prescribed Performance and Input Quantization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on robotics is the subjec t of a new report. According to news originating from Zhanjiang, People's Republ ic of China, by NewsRx correspondents, research stated, "In this paper, a prescr ibed-time adaptive $H_{\ infty }$ cooperative strategy with novel prescribed p erformance and input quantization based on a leader state observer is proposed f or uncertain multiple robot manipulators." Financial supporters for this research include Key Project of The Department of Education of Guangdong Province; Shenzhen Science And Technology Program; Scienc e And Technology Planning Project of Zhanjiang City. Our news correspondents obtained a quote from the research from Guangdong Ocean University: "First, a novel prescribed performance function is introduced into t he asymmetric log-type barrier Lyapunov function, which can limit angle errors a nd reduce the loss of communication resources among multiple robot manipulators. Second, a new prescribed-time leader state estimation observer is proposed to e stimate the leader's state information and pass it to the other followers withou t acceleration information. Third, a prescribed-time adaptive command filter is designed to solve the ‘explosion of the complexity' problem and improves the con vergence performance of the control system. Fourth, an adaptive prescribed-time $H_ {\infty } $ cooperative controller with novel prescribed performance and inp ut quantization is designed." According to the news reporters, the research concluded: "Finally, simulation ex amples are presented to evaluate the stability of the proposed control system."
Guangdong Ocean UniversityZhanjiangP eople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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