NDLI: Dynamic sensor activation for event diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Weilin Wang Lafortune, S. Girard, A.R. Feng Lin
Copyright Year	2009
Description	Author affiliation: Department of ECE, Wayne State University, Detroit, MI 48202, USA (Feng Lin) \|\| Department of Aerospace Engineering, University of Michigan, Ann Arbor, 48109, USA (Weilin Wang; Girard, A.R.) \|\| Department of EECS, University of Michigan, Ann Arbor, 48109, USA (Lafortune, S.)
Abstract	We consider the problem of dynamic sensor activation for event diagnosis in partially-observed discrete-event systems. The observing agent is able to activate sensors dynamically during the evolution of the system. The sensor activation policy is the function that describes which sensors are to be activated after an observed string of events. The sensor activation policy must achieve the requirements of the property of diagnosability previously defined for discrete event systems. A policy is said to be minimal if there is no other policy, with strictly less sensor activation, that achieves diagnosability. For the purpose of computing minimal policies, we define language partition methods that lead to efficient computational algorithms. Specifically, we define “window-based” language partitions that lead to scalable algorithms for computing minimal policies. By increasing the size of the window in this class of partitions, one is able to refine the solution space over which minimal solutions are computed.
Starting Page	4753
Ending Page	4758
File Size	1232533
Page Count	6
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5160450
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Sensor systems Discrete event systems Partitioning algorithms Sensor phenomena and characterization Control systems Observability Radar measurements Frequency measurement Vehicle dynamics Aerodynamics event diagnosis discrete event systems supervisory control sensor activation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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