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.
|Number of pages||24|
|Journal||International Journal of Production Research|
|State||Published - Oct 2008|
Bibliographical noteFunding 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.
- 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