首页|Reports Outline Machine Learning Study Results from University of South Carolina (Physics-informed Machine Learning for Dry Friction and Backlash Modeling In St ructural Control Systems)
Reports Outline Machine Learning Study Results from University of South Carolina (Physics-informed Machine Learning for Dry Friction and Backlash Modeling In St ructural Control Systems)
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 DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Columbia, Sout h Carolina, by NewsRx journalists, research stated, “Modeling dryfriction is a challenging task. Accurate models must incorporate hysteretic rise of force acro ss displacementand non -linearity from the Stribeck effect.”
ColumbiaSouth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUn iversity of South Carolina