文章基本信息

标题：Towards a Simple Sampled-Data Control Law for Stably Invertible Linear Systems ⁎
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作者：Claudia Sánchez ; Graham C. Goodwin ; Juan I. Yuz 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：4582-4587
DOI：10.1016/j.ifacol.2020.12.483
语种：English
出版社：Elsevier
摘要：AbstractA new high gain control law is proposed for stably invertible linear systems. The continuous-time case is first studied to set ideas. The extension to the sampled-data case is made difficult by the presence of sampling zeros. For continuous-time systems having relative degree greater than or equal to two, these zeros converge, as the sampling rate approaches zero, to either marginally stable or unstable locations. A methodology which specifically addresses the sampling zero issue is developed. The methodology uses an approximate model which includes, when appropriate, the asymptotic sampling zeros. The core idea is supported by simulation studies. Also, a preliminary theoretical analysis is provided for degree two, showing that the design based on the approximate model stabilizes the true system for the continuous and sampled-data cases.
关键词：KeywordsLinear systemssampled-data systemssampling zerossampled-data controlrobustness