Force control of a reciprocating surface grinder using unfalsification and learning concept

H. Ali Razavi; Thomas R. Kurfess

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Force control of a reciprocating surface grinder using unfalsification and learning concept

机译：运用伪造和学习理念对往复式平面磨床进行力控制

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摘要

A plant model is an essential requirement in conventional methods for controller synthesis. However, it is possible to find a set of controllers that are not falsified by the performance specification or the measured data without any plant model or prejudicial assumptions. This concept is used to select and implement a force controller for a reciprocating surface grinder. Copyright.

机译：在常规的控制器综合方法中，工厂模型是必不可少的要求。但是，有可能找到一组没有任何工厂模型或偏见性假设就不会因性能规格或测量数据而伪造的控制器。该概念用于选择和实现用于往复式平面磨床的力控制器。版权。

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《International Journal of Adaptive Control and Signal Processing》 |2001年第5期|p.503-818|共316页
作者
H. Ali Razavi; Thomas R. Kurfess;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类电工技术;
关键词
unfalsification; learning; control;

机译：伪造学习;控制;

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Force control of a reciprocating surface grinder using unfalsification and learning concept

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