Force control of a reciprocating surface grinder using unfalsification andlearning concept

Authors
Razavi, HA Kurfess, TR
Citation
Ha. Razavi et Tr. Kurfess, Force control of a reciprocating surface grinder using unfalsification andlearning concept, INT J ADAPT, 15(5), 2001, pp. 503-518
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
ISSN journal
08906327 → ACNP
Volume
15
Issue
5
Year of publication
2001
Pages
503 - 518
Database
ISI
SICI code
0890-6327(200108)15:5<503:FCOARS>2.0.ZU;2-S
Abstract
A plant model is an essential requirement in conventional methods for contr oller synthesis. However, it is possible to find a set of controllers that are not falsified by the performance specification or the measured data wit hout any plant model or prejudicial assumptions. This concept is used to se lect and implement a force controller for a reciprocating surface grinder. Copyright (C) 2001 John Wiley & Sons, Ltd.