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ON NUMERICALLY VERIFIABLE EXACTNESS OF MULTIPLIER RELAXATIONS

机译:乘数松弛的数值可验证精确度

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Robust semi-definite programming problems with rational dependence on uncertainties are known to have a wide range of applications, in particular in robust control. It is well-established how to systematically construct relaxations on the basis of the full block S-procedure. In general such relaxations are expected to be conservative, but for concrete problem instances they are often observed to be tight. The main purpose of this paper is to investigated in how far recently suggested tests for the exactness of such relaxations are indeed numerically verifiable.
机译:合理地依赖不确定性的鲁棒半定编程问题具有广泛的应用,特别是在鲁棒控制中。在完整的块S程序的基础上,如何系统地构造弛豫已广为人知。通常,这种松弛预期是保守的,但是对于具体的问题实例,通常观察到它们是紧密的。本文的主要目的是研究在多大程度上建议对这种松弛的准确性进行测试的事实在数值上是可验证的。

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