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2-D system theory based iterative learning control for linear continuous systems with time delays

机译:基于二维系统理论的线性连续系统时滞迭代学习控制

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This paper presents two-dimensional (2-D) system theory based iterative learning control (ILC) methods for linear continuous multivariable systems with time delays in state or with time delays in input. Necessary and sufficient conditions are given for convergence of the proposed ILC rules. In this paper, we demonstrate that the 2-D linear continuous-discrete Roesser's model can be applied to describe the ILC process of linear continuous time-delay systems. Three numerical examples are used to illustrate the effectiveness of the proposed ILC methods.
机译:本文针对状态为时滞或输入为时滞的线性连续多变量系统,提出了基于二维(2-D)系统理论的迭代学习控制(ILC)方法。为收敛所提议的ILC规则提供了必要和充分的条件。在本文中,我们证明了二维线性连续离散Roesser模型可用于描述线性连续时滞系统的ILC过程。使用三个数值示例来说明所提出的ILC方法的有效性。

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