Force control of a reciprocating surface grinder using unfalsification and learning concept
Force control of a reciprocating surface grinder using unfalsification and learning concept
复制标题
利用反证伪和学习概念对往复式平面磨床进行力控制
DOI：
10.1002/acs.686
复制
发表时间：
2001
影响因子：
3.1
通讯作者：
George W.
中科院分区：
文献类型：
--
作者：
T. Kurfess;G. W. Woodru;H. Razavi;George W.
在传统的控制器综合方法中，对象模型是一个基本要求。然而，有可能找到一组控制器，不伪造的性能规格或测量数据，没有任何植物模型或偏见的假设。这个概念是用来选择和实施的力控制器的往复式平面磨床。版权所有© 2001约翰威利父子有限公司。
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 © 2001 John Wiley & Sons, Ltd.