Performance limitations for linear feedback systems in the presence of plant uncertainty
Performance limitations for linear feedback systems in the presence of plant uncertainty
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DOI：
10.1109/tac.2003.815011
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发表时间：
2003-08
期刊：
影响因子：
--
通讯作者：
G. Goodwin;M. Salgado;J. Yuz
中科院分区：
文献类型：
--
作者：
G. Goodwin;M. Salgado;J. Yuz
本文的目的是有助于了解反馈控制系统的基本性能限制。在文献中，到目前为止，关于这个主题，所有可用的结果都假设设计师有一个确切的工厂模型。然而，启发式地，人们会期望工厂的不确定性应该在确定最佳可实现性能方面发挥重要作用。本文的目的是研究线性反馈控制系统在对象不确定性存在下的性能限制。我们制定的问题，利用随机嵌入的不确定性。结果允许一个评估的最佳平均性能存在的不确定性。它们还允许人们判断不确定性或其他属性，例如，非最小相位行为是主要的限制因素。
The goal of this paper is to contribute to the understanding of fundamental performance limits for feedback control systems. In the literature to date on this topic, all available results assume that the designer has an exact model of the plant. Heuristically, however, one would expect that plant uncertainty should play a significant role in determining the best achievable performance. The goal of this paper is to investigate performance limitations for linear feedback control systems in the presence of plant uncertainty. We formulate the problem by utilizing stochastic embedding of the uncertainty. The results allow one to evaluate the best average performance in the presence of uncertainty. They also allow one to judge whether uncertainty or other properties, e.g., nonminimum phase behavior, are dominant limiting factors.