文章基本信息

标题：Passivity-based Input Observer
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作者：Zixi Zhao ; B. Erik Ydstie
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：821-826
DOI：10.1016/j.ifacol.2018.09.258
语种：English
出版社：Elsevier
摘要：AbstractA passivity-based input observer is proposed. The problem is motivated by reaction rate and heat estimation in control of chemical reaction systems. The input observer assumes measurement of the output, and its first order time derivative. The observer gives asymptotically converging estimation when both are accurately available, the so-called ideal case. In the nonideal case, where the derivative is not available, differentiators can be used to reconstruct the derivative with some error. Simulation results show performance results using a deadbeat differentiator for derivative reconstruction.
关键词：KeywordsInput estimationObserversDifferentiatorsMeasurement noiseFrequency response