首页|Reports on Robotics and Automation Findings from IIT Provide New Insights (neura l-fxsmc: a Robust Adaptive Neural Fixed-time Sliding Mode Control for Quadrotors With Unknown Uncertainties)
Reports on Robotics and Automation Findings from IIT Provide New Insights (neura l-fxsmc: a Robust Adaptive Neural Fixed-time Sliding Mode Control for Quadrotors With Unknown Uncertainties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting from Kanpur, India, by NewsRx journalists, research stated, “This letter presents Neural-FxSMC, a robus t and precise control scheme for quadrotors to counter unknown dynamics, uncerta inties, and external disturbances. Neural-FxSMC, (i) addresses fixed-time conver gence of the tracking error, control singularity, and chattering issues simultan eously, which is not possible with the existing Fixed time Sliding Mode Control (FxSMC), and (ii) relaxes the a priori bound assumption over the uncertainties t hat are often considered as a constant or a state-dependent upper bound.”
KanpurIndiaAsiaRobotics and Automa tionRoboticsIIT
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