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Uncertainty levels are determined based on experimental data

机译:基于实验数据确定不确定性水平

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In the robust control theory, the norm boundary of uncertainty set (i.e. the uncertainty level) is an important issue. When the level of uncertainty is too large, the results will be too conservative, and when the uncertainty is too small, the results will be too optimistic. Two methods for determining the uncertainty level based on experimental data are given in this paper. Method 1 can obtain the minimum model error bounds, but the calculation is complex. Method 2 is simple in calculation and suitable for engineering applications.
机译:在鲁棒控制理论中,不确定性集的范数边界(即不确定性水平)是一个重要问题。当不确定性水平太大时,结果将过于保守,并且当不确定性太小时,结果将过于乐观。本文给出了基于实验数据确定不确定性水平的两种方法。方法1可以获得最小模型误差界限,但计算是复杂的。方法2在计算中简单,适用于工程应用。

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