Skip to main content
Log in

Parity Space Method for Mode Detection of a Nonlinear Switching System Using Takagi–Sugeno Modeling

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

This paper deals with the problem of the recognition of the active mode for nonlinear switching system and the determination of the switching instants. An extension of the parity space method is used for nonlinear modes that are represented by Takagi–Sugeno (TS) models which allows to model a widespread class of real systems. A set of residuals are generated to indicate the path online. The determination of the switching instants is from these residuals that are composed of different modes of the system which reduces the detection time. Tests of discernibility are calculated online to verify the uniqueness of the active path. The effectiveness of the proposed recognition approach has been demonstrated through simulations of examples. The considered cases are a combination of the system in a deterministic context with (or without) measurement noise or with (or without) uncertain parameters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Schaft, A., Schumacher, J.: An Introduction to Hybrid Dynamical Systems. Volume 251 of Lecture Notes in Control and Information Sciences (2000)

  2. Yang, H., Jiang, B., Cocquempot, V.: Fault tolerant control and hybrid systems, Fault Tolerant Control Design for Hybrid Systems pp. 1–9 (2010)

  3. Li, Y., Sui, S., Tong, S.: Adaptive fuzzy control design for stochastic nonlinear switched systems with arbitrary switchings and unmodeled dynamics. IEEE Trans. Cybern. 47(2), 403 (2017)

    Google Scholar 

  4. Engell, S., Kowalewski, S., Schulz, C., Stursberg, O.: Continuous-discrete interactions in chemical processing plants. Proc. IEEE 88(7), 1050 (2000)

    Article  Google Scholar 

  5. Livadas, C., Lygeros, J., Lynch, N.A.: High-level modeling and analysis of the traffic alert and collision avoidance system (tcas). Proc. IEEE 88(7), 926 (2000)

    Article  Google Scholar 

  6. Antsaklis, P.J.: A brief introduction to the theory and applications of hybrid systems. In: Proc IEEE, Special Issue on Hybrid Systems: Theory and Applications. Citeseer (2000)

  7. Petroff, N.B.: Biomimetic sensing for robotic manipulation. Biomimetic sensing for robotic manipulation. University of Notre Dame (2007)

  8. Zhang, W., Hu, J., Lu, Y.H.: Optimal power modes scheduling using hybrid systems. In: Proceedings of the American Control Conference, New York City, NY (2007)

  9. Ma, Y., Kawakami, H., Tse, C.K.: Bifurcation analysis of switched dynamical systems with periodically moving borders. IEEE Trans. Circuits Syst. I Regul. Pap. 51(6), 1184 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  10. Torikai, H., Saito, T.: Synchronization of chaos and its itinerancy from a network by occasional linear connection. IEEE Trans. Circuits Syst. I Fundam Theory Appl. 45(4), 464 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  11. Mitsubori, K., Saito, T.: Dependent switched capacitor chaos generator and its synchronization. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 44(12), 1122 (1997)

    Article  MathSciNet  Google Scholar 

  12. Zouari, T., Pekpe, K.M., Cocquempot, V., Ksouri, M.: Robust mode recognition in hybrid dynamical systems with nonlinear modes. In: Paper Presented at Control and Decision Conference (CCDC), 2011 Chinese (IEEE, 2011), pp. 1308–1313

  13. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 1, 116 (1985)

    Article  MATH  Google Scholar 

  14. Hong, Y., Zhang, H., Zheng, Q.: Asynchronous H\(\infty\) filtering for switched TS fuzzy systems and its application to the continuous stirred tank reactor. Int. J. Fuzzy Syst. 1–13 (2018)

  15. Astorga-Zaragoza, C.M., Osorio-Gordillo, G.L., Reyes-Martinez, J., Madrigal-Espinosa, G., Chadli, M.: Takagi-Sugeno observers as an alternative to nonlinear observers for analytical redundancy. Application to a steam generator of a thermal power plant. Int. J. Fuzzy Syst. (2018)

  16. Xie, X., Yue, D., Zhang, H., Xue, Y.: Control synthesis of discrete-time TS fuzzy systems via a multi-instant homogenous polynomial approach. IEEE Trans. Cybern. 46(3), 630 (2016)

    Article  Google Scholar 

  17. Dong, J., Yang, G.H.: Reliable state feedback control of TS fuzzy systems with sensor faults. IEEE Trans. Fuzzy Syst. 23(2), 421–433 (2015)

    Article  MathSciNet  Google Scholar 

  18. Dong, J., Wu, Y., Yang, G.H.: A new sensor fault isolation method for TS fuzzy systems. IEEE Trans. Cybern. 47(9), 2437–2447 (2017)

    Article  Google Scholar 

  19. Yang, G.H., Wang, H.: Fault detection and isolation for a class of uncertain state feedback fuzzy control systems. IEEE Trans. Fuzzy Syst. 23(1), 139 (2015)

    Article  Google Scholar 

  20. Gertler, J.: Fault detection and isolation using parity relations. Control Eng. Pract. 5(5), 653 (1997)

    Article  Google Scholar 

  21. Cocquempot, V., El Mezyani, T., Staroswiecki, M.: Fault detection and isolation for hybrid systems using structured parity residuals. In: Paper Presented at Control Conference, 2004. 5th Asian, vol. 2, vol. 2, pp. 1204–1212. IEEE (2004)

  22. Domlan, E.A., Ragot, J., Maquin, D.: Switching systems mode estimation using a model-based diagnosis method. In: Paper Presented at 8th Conference on Diagnostics of Processes and Systems, DPS’07, CDROM (2007)

  23. Vidal, R., Chiuso, A., Soatto, S.: Observability and identifiability of jump linear systems. In: Paper Presented at the 41st IEEE Conference on Decision and Control (CDC), 2002, vol. 4, vol. 4, pp. 3614–3619. IEEE (2002)

  24. Baglietto, M., Battistelli, G., Ayala, H.V.H., Tesi, P.: Mode-observability conditions for linear and nonlinear systems. In: Paper Presented at the 51st IEEE Conference on Decision and Control (CDC), 2012, pp. 1941–1947. IEEE (2012)

  25. Liu, S., Li, X., Wang, H., Yan, J.: Adaptive fault estimation for TS fuzzy systems with unmeasurable premise variables. Adv. Differ. Equ. 105 (2018)

  26. Domlan, E.A., Ragot, J., Maquin, D.: Switching systems: active mode recognition, identification of the switching law. J. Control Sci. Eng. (2008)

  27. Ghaniee Zarch, M., Aliyari Shoorehdeli, M.: Generalization of parity space to fault detection based on takagi-sugeno fuzzy models for non-linear dynamic systems. Expert Syst. (2017)

  28. Zouari, T., Pekpe, K.M., Cocquempot, V., Ksouri, M.: Mode recognition of hybrid dynamical systems with nonlinear modes using takagi-sugeno models. In: Control and Fault-Tolerant Systems (SysTol), 2010 Conference on, pp. 612–617. IEEE (2010)

  29. Zouari, T., Pekpe, K.M., Cocquempot, V., Ksouri, M.: Active mode recognition of switched nonlinear systems: application to fault detection and isolation. Asian J Control 16(2), 345 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  30. Gasso, K., Mourot, G., Ragot, J.: Continuous-discrete interactions in chemical processing plants. In: Paper Presented at IEEE International Conference on Systems, Man, and Cybernetics, 2000, vol. 1, vol. 1, pp. 14–19. IEEE (2000)

  31. Ichalal, D., Marx, B., Ragot, J., Maquin, D.: Design of observers for Takagi-Sugeno systems with immeasurable premise variables: an 2 approach. IFAC Proc. 41(2), 2768 (2008)

    Article  Google Scholar 

  32. Babaali, M., Egerstedt, M.: Observability of switched linear systems. In: International Workshop on Hybrid Systems: Computation and Control, pp. 48–63. Springer (2004)

  33. Baglietto, M., Battistelli, G., Tesi, P.: Projection-based degree of distinguishability in switching linear systems. In: Paper Presented at IEEE 52nd Annual Conference on Decision and Control (CDC), 2013, pp. 4048–4053. IEEE (2013)

  34. Yu, P., Wu, M., She, J., Liu, K.Z., Nakanishi, Y.: Robust tracking and disturbance rejection for linear uncertain system with unknown state delay and disturbance. IEEE/ASME Trans. Mechatron. 23(3), 1445–1455 (2018)

    Article  Google Scholar 

  35. Varrier, S., Koenig, D., Martinez, J.J.: Robust fault detection for vehicle lateral dynamics. In: Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, pp. 4366–4371. IEEE (2012)

  36. Seron, M.M., De Doná, J.A., Martínez, J.J.: Invariant set approach to actuator fault tolerant control. IFAC Proc. 42(8), 1605 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Y. Garbouj.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Garbouj, Y., Zouari, T. & Ksouri, M. Parity Space Method for Mode Detection of a Nonlinear Switching System Using Takagi–Sugeno Modeling. Int. J. Fuzzy Syst. 21, 837–851 (2019). https://doi.org/10.1007/s40815-018-0587-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-018-0587-z

Keywords

Navigation