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Prologue

  • Moamar Sayed-Mouchaweh
Chapter

Abstract

This introductory chapter intends to present the required notions, definitions, and background in order to aid understanding the problem of fault diagnosis of hybrid dynamic and complex systems. It starts by defining the hybrid dynamic systems and presenting its main classes and modeling tools. Then, it presents the problem of diagnosis of faults in hybrid dynamic systems, its challenges, and a general classification of its main approaches. Finally, this chapter ends by a compact summary of the contents of the book by providing a paragraph about each of the single contribution (method used, faults diagnosed, class of hybrid dynamic systems adopted, modeling tool used, and applications targeted).

References

  1. 1.
    Van Der Schaft, A. J., & Schumacher, J. M. (2000). An introduction to hybrid dynamical systems (Vol. 251). London: Springer.CrossRefzbMATHGoogle Scholar
  2. 2.
    Branicky, M. S., Borkar, V. S., & Mitter, S. K. (1998). A unified framework for hybrid control: Model and optimal control theory. IEEE Transactions on Automatic Control, 43(1), 31–45.MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Rodrigues, L., & Boyd, S. (2005). Piecewise-affine state feedback for piecewise-affine slab systems using convex optimization. Systems & Control Letters, 54(9), 835–853.MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Louajri, H., & Sayed-Mouchaweh, M. (2014). Decentralized diagnosis and diagnosability of a class of hybrid dynamic systems. In 11th International conference on informatics in control, automation and robotics (ICINCO) (Vol. 2).Google Scholar
  5. 5.
    Shahbazi, M., Jamshidpour, E., Poure, P., Saadate, S., & Zolghadri, M. R. (2013). Open-and short-circuit switch fault diagnosis for nonisolated dc–dc converters using field programmable gate array. IEEE Transactions on Industrial Electronics, 60(9), 4136–4146.CrossRefGoogle Scholar
  6. 6.
    David, R., & Alla, H. (2010). Discrete, continuous, and hybrid Petri nets. Berlin Heidelberg: Springer.CrossRefzbMATHGoogle Scholar
  7. 7.
    Wang, D., Arogeti, S., Zhang, J. B., & Low, C. B. (2008). Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph. IFAC Proceedings Volumes, 41(2), 10516–10521.CrossRefGoogle Scholar
  8. 8.
    Henzinger, T. A. (2000). The theory of hybrid automata. In Verification of digital and hybrid systems (pp. 265–292). Berlin Heidelberg: Springer.CrossRefGoogle Scholar
  9. 9.
    Sayed-Mouchaweh, M., & Lughofer, E. (2015). Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. International Journal of Control, 88(11), 2228–2241.MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Sayed-Mouchaweh, M. (2014). Discrete event systems: Diagnosis and diagnosability. New York: Springer.CrossRefGoogle Scholar
  11. 11.
    Tabatabaeipour, M., Odgaard, P. F., Bak, T., & Stoustrup, J. (2012). Fault detection of wind turbines with uncertain parameters: A set-membership approach. Energies, 5(7), 2424–2448.CrossRefGoogle Scholar
  12. 12.
    Hartert, L., & Sayed-Mouchaweh, M. (2014). Dynamic supervised classification method for online monitoring in non-stationary environments. Neurocomputing, 126, 118–131.CrossRefGoogle Scholar
  13. 13.
    Sayed-Mouchaweh, M., & Messai, N. (2012). A clustering-based approach for the identification of a class of temporally switched linear systems. Pattern Recognition Letters, 33(2), 144–151.CrossRefGoogle Scholar
  14. 14.
    Toubakh, H., & Sayed-Mouchaweh, M. (2015). Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines. Evolving Systems, 6(2), 115–129.CrossRefGoogle Scholar
  15. 15.
    Sayed-Mouchaweh, M. (2004). Diagnosis in real time for evolutionary processes in using pattern recognition and possibility theory. International Journal of Computational Cognition, 2(1), 79–112.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute Mines-Telecom Lille DouaiDouaiFrance

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