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From physical models to well-founded control

Author(s)
Dobson, Simon  
Coyle, Lorcan  
O'Hare, G. M. P. (Greg M. P.)  
Hinchey, Mike  
Uri
http://hdl.handle.net/10197/1150
Date Issued
2009
Date Available
2009-06-08T10:32:01Z
Abstract
Mobile sensors are an attractive proposition for environmental sensing, but pose significant engineering problems. Not least amongst these is the need to match the behaviour of the sensor platform to the physical environment in which it operates. We present initial work on using models of physical processes to generate models for autonomic control, and speculate that these can be used to improve the confidence we can place in sensed data.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE Press
Copyright (Published Version)
2008 IEEE
Subjects

Autonomic systems

Control

Lero

Clarity

Subject – LCSH
Wireless communication systems
Wireless sensor networks
DOI
10.1109/EASe.2009.9
Web versions
http://dx.doi.org/10.1109/EASe.2009.9
Language
English
Status of Item
Peer reviewed
Journal
Sterritt, R. (ed.). Mastering the complexity of computer-based systems …through Self : EASE 2009 : Proceedings Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems
Conference Details
6th IEEE International Conference and Workshops on Engineering of Autonomic and Autonomous Systems, 14-16 April 2009,San Francisco
ISBN
978-0-7695-3623-1
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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well-founded-control.pdf

Size

755.98 KB

Format

Adobe PDF

Checksum (MD5)

7bb49631fbf994b406600df2df340648

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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