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Time and frequency domain convergence properties in iterative learning control

机译:迭代学习控制中的时频域收敛特性

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摘要

The convergence properties of iterative learning control (ILC) algorithms are considered. The analysis is carried out in a framework using linear iterative systems, which enables several results from the theory of linear systems to be applied. This makes it possible to analyse both first-order and high-order ILC algorithms in both the time and frequency domains. The time and frequency domain results can also be tied together in a clear way. Results are also given for the iteration-variant case, i.e. when the dynamics of the system to be controlled or the ILC algorithm itself changes from iteration to iteration. [References: 43]
机译:考虑了迭代学习控制(ILC)算法的收敛性。该分析是在使用线性迭代系统的框架中进行的,这使得可以应用线性系统理论的一些结果。这使得可以在时域和频域中分析一阶和高阶ILC算法。时域和频域结果也可以清楚地关联在一起。还给出了迭代变量情况的结果,即当要控制的系统的动力学或ILC算法本身在迭代之间变化时。 [参考:43]

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