AUXILIARY SIGNAL DESIGN FOR FAULT DETECTION IN NONLINEAR SYSTEMS

K.A. Sweetingham and S.L. Campbella ∗

References

  1. [1] M. Bisiacco & M.E. Valcher, Observation-based fault detectionand isolation for 2D state-space nodels, MultidimensionalSystems and Signal Processing, 17, 2006, 219–242.
  2. [2] R. Isermann, Fault-diagnosis systems: an introduction fromfault detection to fault tolerance (Berlin: Springer, 2006).
  3. [3] B. del-Muro-Cu´ellar, J.C. Martinez-Garcia, & E. Ordu˜na-Reyes, Model-based fault detection and identification: orientedsensor selection method, Control and Intelligent Systems, 34(2),2006, 91–95.
  4. [4] H. Benitez-P’rez, J. Solano-Gonzalez, F. Cardenas-Flores, &D.F. Garcia-Nocetti, Fault classification for a class of time-varying systems by using overlapped ART2A networks, Controland Intelligent Systems, 36(1), 2008, 64–72.
  5. [5] K.R. Muske & J.C.P. Jones, Model-based control and diagnos-tic monitoring for automotive catalyst systems, Control andIntelligent Systems, 36(3), 2008, 296–302.
  6. [6] M.G. Perhinschi, M.R. Napolitano, G. Campa, M.L. Fravolini,& B. Seanor, Integration of sensor and actuator failure de-tection, identification, and accomodation schemes within faulttolerant control laws, Control and Intelligent Systems, 35(4),2007, 309–318.
  7. [7] S.L. Campbell & R. Nikoukhah, Auxiliary signal design forfailure detection (Princeton, NJ: Princeton University Press,2004).
  8. [8] H.H. Niemann, A setup for active fault diagnosis, IEEETransactions on Automatic Control, 51, 2006, 1572–1578.
  9. [9] B. Jiang, M. Staroswiecki, & V. Cocquempot, Active fault tol-erant control for a class of nonlinear systems, Proc. Safeprocess2003, Washington, DC, 2003, 127–132.
  10. [10] K. Godfrey, Perturbation signals for system identification(London: Prentice Hall, 1993).
  11. [11] X.J. Zhang, Auxiliary signal design in fault detection anddiagnosis (Heidelberg: Springer, 1989).
  12. [12] L. Blackmore & B. Williams, Finite horizon control designfor optimal model discrimination, Proc. Conf. on Decisionand Control and the European Control Conf., Seville, 2005,3785–3802.
  13. [13] F. Kerestecioglu, Change detection and input design in dynam-ical systems (Baldock, Hertfordshire: Research Studies Press,1993).
  14. [14] M. Simandl, I. Puncochar, & J. Kralovec, Rolling horizon foractive fault detection, Proc. Conf. on Decision and Controland European Control Conf., Seville, 2005, 3789–3794.158
  15. [15] I. Andjelkovic, K. Sweetingham, & S.L. Campbell, Active faultdetection in nonlinear systems using auxiliary signals, Proc.American Control Conference, Seattle, 2008, 2142–2147.
  16. [16] E.D. Sontag, Mathematical control theory (New York, NY:Springer-Verlag, 1988).
  17. [17] S.L. Campbell, K.J. Drake, I. Andjelkovic, K. Sweetingham, &D. Choe, Model based failure detection using test signals fromlinearizations: a case study, Proc. IEEE Int. Conf. ControlApplications, Munich, 2006.
  18. [18] S.L. Campbell & C.D. Meyer, Jr., Generalized inverses oflinear transformations (Philadelphia, PA: SIAM, 2008).
  19. [19] J.T. Betts, Practical methods for optimal control using non-linear programming (Philadelphia, PA: SIAM, 2001).

Important Links:

Go Back