---
title: "Monitoring Piecewise Continuous Behaviors by Refining Semi-Quantative Trackers"
authors:
  - "Bernhard Rinner"
  - "Benjamin Kuipers"
doi: ""
url: "https://ijcai.org/proceedings/1999/154"
pdf: "https://ijcai.org/proceedings/1999/0154.pdf"
venue: "Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence"
year: 1999
pages: "1080-1085"
track: "Qualitative Reasoning and Diagnosis"
keywords:
---

# Monitoring Piecewise Continuous Behaviors by Refining Semi-Quantative Trackers

Bernhard Rinner, Benjamin Kuipers

*Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence*, 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.