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A Study on Robust Stability Analysis of Sampled-Data Systems against Parametric Uncertainties via a Separator-Type Stability Theorem

机译:通过分离器型稳定性定理对采样数据系统对参数不确定性的鲁棒稳定性分析的研究

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In this paper, we study the robust internal stability problem of sampled-data systems. We confine ourselves to a simple class of separators with which we apply the separator-type stability theorem derived recently, and show that the robust stability analysis with that class can be classified into two types of methods as far as real scalar parametric uncertainties are concerned. Moreover, we clarify that each of these methods can be regarded as an extended version of an associated existing method. Furthermore, we study the relation between these two types of methods and compare their effectiveness from the viewpoint of conservativeness of the robust stability analysis.
机译:在本文中,我们研究了采样数据系统的强大内部稳定性问题。我们将自己限制在一类简单的分离器中,我们最近应用了分离器型稳定定理,并且表明,与真正的标量参数不确定因素相比,可以将其分为两种方法的强大稳定性分析。此外,我们阐明了这些方法中的每一种都可以被视为关联现有方法的扩展版本。此外,我们研究这两种类型的方法之间的关系,并从鲁棒稳定性分析的保守性的观点来比较它们的有效性。

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