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Problems in the Adaptive Control of Stochastic Systems

Problems in the Adaptive Control of Stochastic Systems
随机系统的自适应控制问题
批准号：
8506628
负责人：
Panganamala Kumar
金额：
$2.3万
依托单位：
University of Illinois at Urbana-Champaign
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1985
资助国家：
美国
项目状态：
已结题
起止时间：
1985-05-01 至 1986-12-31
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=8506628&HistoricalAwards=false
关键词：
ProblemsAdaptiveControlStochasticSystems

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中文摘要
翻译
这项研究表明，除了非常特殊的情况，“自调整调节器”不会收敛到最优。尽管如此，已经证明，如果控制器的阶数足够大，那么仍然可以获得自调谐到最优。这项工作深入了解了系统需要参数化的方式，以便由一类称为“自调整”的自适应算法控制。
英文摘要
This research effort has demonstrated that, except for very special cases, the 'self-tuning regulator' will not converge to the optimal. Despite this, it has been shown that if the order of the controller is large enough then one can still obtain self-tuning to the optimal. This work yields insights into the way in which a system needs to be parameterized in order for it to be controlled by the class of adaptive algorithms called 'self-tuning'.
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