首先我们放松了对不确定集的限制，把鲁棒线性最优化拓展到凸锥和子空间平移的交的不确定集的情形。

First, we relax the uncertainty set to be intersection of a closed convex cone and the translation of an affine subspace.

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本文在他们的基础上提出一种实现空间平移不变和在一定的角度范围内转动不变的特征识别方法，给出相应的滤波器设计具体公式。

Based on their method, we suggest a new filter design for space-invariant and rotation-invariant in a given Angle range pattern recognition system.

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例如欧氏空间在旋转和平移下都不会改变。

For example, Euclidean space is invariant under rotations and translations.

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