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Reasoning About Sensor Data for Automated System Identification (1998)
| Venue: | In Advances in Intelligent Data |
| Citations: | 14 - 8 self |
BibTeX
@INPROCEEDINGS{Bradley98reasoningabout,
author = {Elizabeth Bradley and Matthew Easley},
title = {Reasoning About Sensor Data for Automated System Identification},
booktitle = {In Advances in Intelligent Data},
year = {1998}
}
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Abstract
The computer program pret automatically constructs mathematical models of physical systems. A critical part of this task is automating the processing of sensor data. pret's intelligent data analyzer uses geometric reasoning to infer qualitative information from quantitative data; if critical variables are either unknown or cannot be measured, it uses delay-coordinate embedding to reconstruct the internal dynamics from the external sensor measurements. Successful modeling results for two sensor-equipped systems, a driven pendulum and a radio-controlled car, demonstrate the effectiveness of these techniques.
Keyphrases
sensor data automated system identification qualitative information critical part intelligent data analyzer computer program pret driven pendulum sensor-equipped system mathematical model quantitative data critical variable external sensor measurement internal dynamic successful modeling result radio-controlled car physical system
