首页|Data from Nankai University Provide New Insights into Robotics (Prescribed-time Adaptive Fuzzy Control for Pneumatic Artificial Muscle-actuated Parallel Robots With Input Constraints)
Data from Nankai University Provide New Insights into Robotics (Prescribed-time Adaptive Fuzzy Control for Pneumatic Artificial Muscle-actuated Parallel Robots With Input Constraints)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “With the advantages of natural flexibility, l arge force-weight ratios, and green cleanliness, pneumatic artificial muscle (PA M) actuators that mimic biological skeletal muscles have attracted much attentio n. However, the inherent defects of PAMs, such as high nonlinearities, limited c ontraction lengths and frequencies, and multiple input constraints, pose signifi cant challenges to the motion control of PAM-actuated parallel robots; meanwhile , most existing methods do not take into account motion constraints and working efficiency.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
TianjinPeople’s Republic of ChinaAsi aEmerging TechnologiesFuzzy LogicMachine LearningNano-robotRoboticsN ankai University
NETL
NSTL
