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Iterative Learning Control for a class of spatially interconnected systems

机译:一类空间互联系统的迭代学习控制

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An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an Iterative Learning Control (ILC) design for systems whose dynamics are described by a fourth-order partial differential equation. In particular, a discrete in time and space model of a deformable rectangular mirror, as an exemplar application, is derived and used in the ILC design. Finally, the feasibility of the new ILC design is confirmed by numerical simulations.
机译:由众所周知的曲柄-NicolsOM方法激励的无条件稳定的有限差异离散化用于开发用于由四阶偏微分方程描述的动态的系统的迭代学习控制(ILC)设计。具体地,导出和使用可变形矩形镜的时间和空间模型的离散时间和空间模型,作为示例性应用,并在ILC设计中使用。最后,通过数值模拟确认了新ILC设计的可行性。

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