Diagnosis of Hybrid Dynamic Systems Based on the Behavior Automaton Abstraction-Reference-Cited by-同舟云学术

Diagnosis of Hybrid Dynamic Systems Based on the Behavior Automaton Abstraction

Published:2018 Issue: Volume: Page:243-278
ISSN:
Container-title:Fault Diagnosis of Hybrid Dynamic and Complex Systems
language:
Short-container-title:

Author:

Sarrate Ramon,Puig Vicenç,Travé-Massuyès Louise

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-74014-0_10

Reference35 articles.

1. Arogeti, A., Wang, D., & Low, C. B. (2010). Mode identification of hybrid systems in the presence of fault. IEEE Transactions on Industrial Electronics, 57(4), 1452–1467.

2. Bayoudh, M. (2009). Active Diagnosis of Hybrid Systems Guided by Diagnosability Properties- Application to Autonomous Satellites. PhD thesis, l’Université de Toulouse, Institut National Polytechnique, Toulouse, France.

3. Bayoudh, M., & Travé-Massuyès, L. (2014). Diagnosability analysis of hybrid systems cast in a discrete-event framework. Discrete Event Dynamic Systems, 24(3), 309–338.

4. Bayoudh, M., Travé-Massuyès, L., & Olive, X. (2007). State tracking in the hybrid space. In 18th International Workshop on Principles of Diagnosis (DX-07), May 2007 (pp. 221–228).

5. Bayoudh, M., Travé-Massuyès, L., & Olive, X. (2008). Coupling continuous and discrete event system techniques for hybrid system diagnosability analysis. In 18th European Conference on Artificial Intelligence (ECAI 2008), July 2008 (pp. 219–223).

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