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

Force control of a reciprocating surface grinder using unfalsification and learning concept 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Adaptive Control and Signal Processing Wiley

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

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References (12)

Publisher
Wiley
Copyright
Copyright © 2001 John Wiley & Sons, Ltd.
ISSN
0890-6327
eISSN
1099-1115
DOI
10.1002/acs.686
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

International Journal of Adaptive Control and Signal ProcessingWiley

Published: Aug 1, 2001

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