Detection of unmodelled anomalous behaviours via localized controllers for condition systems

Jeff Ashley; Lawrence Holloway

doi:10.1080/00207540802273645

Detection of unmodelled anomalous behaviours via localized controllers for condition systems

Jeff Ashley, Lawrence Holloway

Institute for Sustainable Manufacturing (ISM)

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	5289-5312
Number of pages	24
Journal	International Journal of Production Research
Volume	46
Issue number	19
DOIs	https://doi.org/10.1080/00207540802273645
State	Published - Oct 2008

Bibliographical note

Funding Information:
This work has been supported in part by NSF Grant ECS-0115694, the Office of Naval Research under Grant N000140110621, and the Center for Manufacturing at the University of Kentucky. J.A. is Research Scientist, Center for Manufacturing, University of Kentucky. L.H. is Professor of Electrical Engineering and Director of the Center for Manufacturing.

Keywords

Condition systems
Controller synthesis
Discrete event systems
Fault detection

ASJC Scopus subject areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

Access to Document

10.1080/00207540802273645

Cite this

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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.",

keywords = "Condition systems, Controller synthesis, Discrete event systems, Fault detection",

author = "Jeff Ashley and Lawrence Holloway",

note = "Funding Information: This work has been supported in part by NSF Grant ECS-0115694, the Office of Naval Research under Grant N000140110621, and the Center for Manufacturing at the University of Kentucky. J.A. is Research Scientist, Center for Manufacturing, University of Kentucky. L.H. is Professor of Electrical Engineering and Director of the Center for Manufacturing.",

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N2 - 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.

AB - 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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KW - Controller synthesis

KW - Discrete event systems

KW - Fault detection

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Detection of unmodelled anomalous behaviours via localized controllers for condition systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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