首页|New Findings in Robotics Described from Anhui University (Robust Adaptive Asymme tric State Constraint Control of Brush Dc Motor Systems Driving a One-link Robot Manipulator: a Feasibilitycondition-free Method)
New Findings in Robotics Described from Anhui University (Robust Adaptive Asymme tric State Constraint Control of Brush Dc Motor Systems Driving a One-link Robot Manipulator: a Feasibilitycondition-free Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting from Hefei,People’s Republic of China, by N ewsRx journalists, research stated, “In this paper, we investigate thetracking control problem for a class of brush direct current (DC) motor systems driving a one-link robotmanipulator subject to asymmetric full-state constraints. By con structing a state-dependent nonlineartransformation function (NTF), we present an adaptive robust dynamic surface control (DSC) strategythat can directly addr ess both symmetric and asymmetric state constraints, so that there is no need toconvert the problem of state constraint into the constraints on tracking errors as necessitated by the BarrierLyapunov Function (BLF)-based existing works.”
HefeiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsAnhui University
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