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Robust stability of sampled-data systems under possibly unstable additive/multiplicative perturbations

机译:在可能不稳定的加/乘扰动下,采样数据系统的鲁棒稳定性

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Applies the FR-operator technique to the robust stability problem of sampled-data systems against additive/multiplicative perturbations, where a reasonable class of perturbations consists of unstable as well as stable ones. Assuming that the number of unstable modes of the plant does not change, we show that a small-gain condition in terms of the FR-operator representation (which is actually equivalent to a small-gain condition in terms of the L/sub 2/-induced norm) is still necessary and sufficient for the sampled-data system to be robustly stable against h-periodic perturbations, in spite of their possible instability. The result is derived by a Nyquist-type of arguments. Next, a necessary and sufficient condition for robust stability against linear time-invariant (LTI) perturbations is also given. Furthermore, we show that if the plant is either single-input or single-output, the condition can be reduced to a readily testable form. Finally, we clarify when the small-gain condition becomes a particularly poor measure for robust stability.
机译:将FR-算子技术应用于样本数据系统针对加性/乘性扰动的鲁棒稳定性问题,其中合理的扰动类别包括不稳定和稳定的扰动。假设植物的不稳定模式的数量没有变化,我们表明以FR算子表示为小增益条件(实际上等于以L / sub 2 /为单位的小增益条件)。 -诱导范数)仍然是必需的,并且足以使采样数据系统即使对h周期扰动也具有鲁棒的稳定性,尽管它们可能不稳定。结果由Nyquist类型的参数得出。接下来,还给出了抵抗线性时不变(LTI)摄动的鲁棒稳定性的必要和充分条件。此外,我们表明,如果工厂是单输入或单输出,则条件可以降低为易于测试的形式。最后,我们澄清了小增益条件何时变得对鲁棒稳定性特别不利的度量。

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