Computational aspects of IQC-based stability analysis for sampled-data feedback systems

H. Fujioka, K. Morimura
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引用次数: 5

Abstract

Computational methods are proposed for stability analysis of sampled-data feedback systems with integral quadratic constraint (IQC)-characterized perturbations. It is shown that, for a given IQ, one can exactly evaluate that the IQC guarantees the closed-loop stability or not by computing the L/sub 2/-induced norm of a certain sampled-data system. An approximated search method is also proposed based on the fast-hold signals, which leads to an LMI.
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基于iqc的采样数据反馈系统稳定性分析的计算方面
提出了具有积分二次约束(IQC)特征扰动的采样数据反馈系统稳定性分析的计算方法。结果表明,对于给定的IQ,可以通过计算某采样数据系统的L/sub 2/诱导范数来准确地评价IQC是否保证闭环稳定性。提出了一种基于快速保持信号的近似搜索方法,实现了LMI。
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