---
title: "Model-based Diagnosis of Hybrid Systems"
authors:
  - "Sriram Narasimhan"
  - "Gautam Biswas"
doi: ""
url: "https://ijcai.org/proceedings/2003/56"
pdf: "https://ijcai.org/proceedings/2003/0056.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "376-380"
track: ""
keywords:
---

# Model-based Diagnosis of Hybrid Systems

Sriram Narasimhan, Gautam Biswas

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 376-380.

## Abstract

Recent years have seen a proliferation of embedded systems that combine a digital (discrete) supervisory controller with an analog (continuous) plant. Diagnosing faults in such hybrid systems , require techniques that are different from those used for discrete and continuous systems . In addition, these algorithms have to be deployed online to meet the real time requirements of embedded systems. This paper presents a methodology for online tracking and diagnosis of hybrid systems. We demonstrate the effectiveness of the approach with experiments conducted on the fuel transfer system of fighter aircraft.