Detection of unmodelled anomalous behaviours via localized controllers for condition systems
A method for detecting anomalous behaviours is presented for plants represented as condition systems. An anomalous behaviour can be viewed as observed behaviour of a real system (i.e. a robot, manufacturing cell, etc.) that cannot be accounted for by the set of plant models representing the system,...
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Published in: | International journal of production research Vol. 46; no. 19; pp. 5289 - 5312 |
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Language: | English |
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Taylor & Francis Group
01-10-2008
Taylor & Francis LLC |
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Abstract | A method for detecting anomalous behaviours is presented for plants represented as condition systems. An anomalous behaviour can be viewed as observed behaviour of a real system (i.e. a robot, manufacturing cell, etc.) that cannot be accounted for by the set of plant models representing the system, even allowing for fault events. This work builds upon previous modular control synthesis techniques for condition systems. |
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AbstractList | A method for detecting anomalous behaviours is presented for plants represented as condition systems. An anomalous behaviour can be viewed as observed behaviour of a real system (i.e. a robot, manufacturing cell, etc.) that cannot be accounted for by the set of plant models representing the system, even allowing for fault events. This work builds upon previous modular control synthesis techniques for condition systems. A method for detecting anomalous behaviours is presented for plants represented as condition systems. An anomalous behaviour can be viewed as observed behaviour of a real system (i.e. a robot, manufacturing cell, etc.) that cannot be accounted for by the set of plant models representing the system, even allowing for fault events. This work builds upon previous modular control synthesis techniques for condition systems. [PUBLICATION ABSTRACT] |
Author | Ashley, Jeff Holloway, Lawrence |
Author_xml | – sequence: 1 givenname: Jeff surname: Ashley fullname: Ashley, Jeff email: [ashley, holloway]@engr.uky.edu organization: Center for Manufacturing , University of Kentucky – sequence: 2 givenname: Lawrence surname: Holloway fullname: Holloway, Lawrence organization: Center for Manufacturing , University of Kentucky |
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Cites_doi | 10.1109/9.940942 10.1109/9.412626 10.1109/TASE.2005.860613 10.1109/TSMCA.2005.853503 10.1109/ETFA.2006.355210 10.1109/87.486338 10.3182/20050703-6-CZ-1902.01447 10.1109/TAC.2004.829616 10.1109/3477.875446 10.1109/TAC.2003.814099 10.1109/TAC.2003.811249 10.1016/S0947-3580(97)70086-4 10.1137/0325036 10.1109/TRA.2003.809590 10.1137/0325013 10.1016/j.matcom.2005.11.013 |
ContentType | Journal Article |
Copyright | Copyright Taylor & Francis Group, LLC 2008 Copyright Taylor & Francis Group Oct 2008 |
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References | Provan G (CIT0025) 1998 CIT0010 Hanisch H-M (CIT0014) 1997; 3 CIT0032 CIT0031 Guan X (CIT0012) 2000 Holloway LE (CIT0016) 2000 Ashley J (CIT0002) 2004 CIT0015 CIT0018 CIT0017 CIT0019 Guan X (CIT0013) 1999 CIT0021 CIT0020 CIT0022 Darwiche A (CIT0009) 1994 CIT0003 CIT0005 Kowalewski S (CIT0023) 1998 CIT0027 CIT0026 CIT0007 CIT0029 CIT0006 CIT0028 Gong Y (CIT0011) 2003 CIT0008 |
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Snippet | A method for detecting anomalous behaviours is presented for plants represented as condition systems. An anomalous behaviour can be viewed as observed... |
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SubjectTerms | Behavior Condition systems Controller synthesis Discrete event systems Fault detection Production management Quality control Studies |
Title | Detection of unmodelled anomalous behaviours via localized controllers for condition systems |
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