Model-based Diagnosis of Hybrid Systems

Narasimhan, Sriram; Biswas, Gautam

Model-based Diagnosis of Hybrid Systems

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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.

Sriram Narasimhan, and Gautam Biswas. 2003. Model-based Diagnosis of Hybrid Systems. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 376–380. https://ijcai.org/proceedings/2003/56

@inproceedings{ijcai2003p56,
  title     = {Model-based Diagnosis of Hybrid Systems},
  author    = {Narasimhan, Sriram and Biswas, Gautam},
  booktitle = {Proceedings of the Eighteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-03}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Georg Gottlob},
  pages     = {376--380},
  year      = {2003},
  url       = {https://ijcai.org/proceedings/2003/56},
}

TY  - CPAPER
TI  - Model-based Diagnosis of Hybrid Systems
AU  - Narasimhan, Sriram
AU  - Biswas, Gautam
T2  - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2003
SP  - 376
EP  - 380
UR  - https://ijcai.org/proceedings/2003/56
ER  -