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MULTIPLE MAGNITUDE SCALE DLC SCHEME FOR HIGH ORDER SYSTEMS

机译:高阶系统的多尺度大规模DLC方案

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In this paper, we propose two multi-scale Direct Learning Control (DLC) schemes for time-varying high order systems, one for linear systems and the other for nonlinear systems. DLC schemes developed hitherto only consider trajectories with a single-scale relation in that any two trajectories are spatially proportional to each other with a single scale for all coordinates (dimensions). In comparison, the new schemes are capable of handling trajectories with multiple scales, i. e., each spatial coordinate of a trajectory is proportional to that of another trajectory associated with a distinct scale. Simulation results confirm the effectiveness of these methods.
机译:在本文中,我们为时变高阶系统提出了两种多尺度直接学习控制(DLC)方案,一种用于线性系统,另一种用于非线性系统。迄今为止开发的DLC方案仅考虑具有单比例关系的轨迹,因为对于所有坐标(维度),任何两个轨迹在空间上彼此成比例并且具有单个比例。相比之下,新方案能够处理多种尺度的轨迹,即例如,一条轨迹的每个空间坐标与与不同比例尺关联的另一条轨迹的空间坐标成比例。仿真结果证实了这些方法的有效性。

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