Monitoring Piecewise Continuous Behaviors by Refining Semi-Quantative Trackers
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1080-1085.
Abstract
We present a model-based monitoring method for dynamic systems that exhibit both discrete and continuous behaviors. MIMIC [Dvorak and Kuipers, 1991] uses qualitative and semiquantitative models to monitor dynamic systems even with incomplete knowledge. Recent advances have improved the quality of semi-quantitative behavior predictions, used observations to refine static envelopes around monotonic functions, and provided a semiquantitative system identification method. Using these, we reformulate and extend MIMIC to handle discontinuous changes between models. Each hypothesis being monitored is embodied as a tracker, which uses the observation stream to refine its behavioral predictions, its underlying model, and the time uncertainty of any discontinuous transitions.
@inproceedings{ijcai1999p154,
title = {Monitoring Piecewise Continuous Behaviors by Refining Semi-Quantative Trackers},
author = {Rinner, Bernhard and Kuipers, Benjamin},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1080--1085},
year = {1999},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1999/154},
}
TY - CPAPER TI - Monitoring Piecewise Continuous Behaviors by Refining Semi-Quantative Trackers AU - Rinner, Bernhard AU - Kuipers, Benjamin T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1080 EP - 1085 UR - https://ijcai.org/proceedings/1999/154 ER -Copied
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