From physical models to well-founded control

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Title: From physical models to well-founded control
Authors: Dobson, Simon
Coyle, Lorcan
O'Hare, G. M. P. (Greg M. P.)
Hinchey, Mike
Permanent link: http://hdl.handle.net/10197/1150
Date: 2009
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE Press
Copyright (published version): 2008 IEEE
Keywords: Autonomic systems;Control;Lero;Clarity
Subject LCSH: Wireless communication systems
Wireless sensor networks
DOI: 10.1109/EASe.2009.9
Language: en
Status of Item: Peer reviewed
Is part of: 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
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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