文章基本信息

标题：Accelerated and Adaptive Modifier-Adaptation Schemes for Unconstrained Uncertain Systems
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作者：René Schneider ; Predrag Milosavljevic ; Dominique Bonvin 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：4684-4689
DOI：10.1016/j.ifacol.2017.08.719
语种：English
出版社：Elsevier
摘要：AbstractThe steady-state performance of a parametrically or structurally uncertain system can be optimized using iterative real-time optimization methods such asmodifier adaptation(MA). Here, we extend a recently proposed MA scheme in two important and novel directions. First, weaccelerateits convergence, i.e., we reduce the number of potentially time-consuming and suboptimal transitions to intermediate steady states by appropriate filtering. Second, we propose anadaptationstrategy to reduce conservatism related to the unknown curvature of the system’s steady-state performance curve. Moreover, we combine these two innovations and demonstrate their benefits on two numerical examples.
关键词：KeywordsModifier adaptationreal-time optimizationproximal gradientmodel uncertaintyguaranteed convergenceaccelerated convergence