文章基本信息

标题：Robust design of optimal experiments considering consecutive re-designs
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作者：Anwesh Reddy Gottu Mukkula ; Radoslav Paulen
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：7
页码：13-18
DOI：10.1016/j.ifacol.2022.07.415
语种：English
出版社：Elsevier
摘要：AbstractWe investigate the problem of robust design of experiments (rDoE) in the context of nonlinear maximum-likelihood parameter estimation. It is assumed that an experimenter designs a series of experiments with the possibility of a re-design after a particular experiment run. We present a novel rDoE approach that uses multi-stage decision making in order to explicitly account for the experiment re-designs. This is an extension to our previous work Gottu Mukkula et al. (2021) whereby we focus on the framework of the exact joint-confidence regions for uncertain model parameters. An over-approximation of the exact joint-confidence region is used for designing robust A-optimal experiments. We compare the presented approach with the standard robustification approaches and report the findings on a simple nonlinear case study.
关键词：KeywordsOptimal experiment designParameter estimationLeast-squares estimationRobust design of experimentsExact joint-confidence region