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Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout

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Abstract

This paper deals with the problem of detecting faults in nonlinear networked control systems. The considered system is the state space models of time-varying systems in which the upper and lower bounds of delay are known. Sector-bounded condition is exploited to overcome the nonlinear term. It is assumed that data packet dropouts occur during data transmission, which here is modeled as Bernoulli-distributed white sequences. For fault detection, an \(H_{-} /H_{\infty }\) performance index is utilized to design an observer such that the residual signal is much sensitive to faults and less sensitive to disturbance. The Lyapunov–Krasovskii approach is exploited to ensure the stability of the designed observer. The obtained results for observer design are modeled as linear matrix inequalities. Finally, a numerical example and a practical example of engineering systems are adopted to illustrate the effectiveness of the proposed approach.

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References

  1. S. Ahmadizadeh, J. Zarei, H.R. Karimi, A robust fault detection design for uncertain Takagi–Sugeno models with unknown inputs and time-varying delays. Nonlinear Anal. Hybrid Syst. 11, 98–117 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  2. S. Aouaouda, M. Chadli, P. Shi, H.R. Karimi, Discrete-time \({H}\_-/{H}\_\infty \) sensor fault detection observer design for nonlinear systems with parameter uncertainty. Int. J. Robust Nonlinear Control 25, 339–361 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  3. M. Bahreini, J. Zarei, Robust finite-time stabilization for networked control systems via static output-feedback control: Markovian jump systems approach. Circuits Syst. Signal Process. 37(4), 1523–1541 (2018)

    Article  MathSciNet  Google Scholar 

  4. N.W. Bauer, P.J.H. Maas, W. Heemels, Stability analysis of networked control systems. Automatica 48(1514–1524), 14 (2012)

    MathSciNet  Google Scholar 

  5. A. Bregon, C.J. Alonso-González, B. Pulido, Integration of simulation and state observers for online fault detection of nonlinear continuous systems. IEEE Trans. Syst. Man Cybern. Syst. 44(12), 1553–1568 (2014)

    Article  Google Scholar 

  6. M. Chadli, A. Abdo, S.X. Ding, \({H}_-/{H}_\infty \) fault detection filter design for discrete-time Takagi–Sugeno fuzzy system. Automatica 49, 1996–2005 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  7. W. Ding, Z. Mao, B. Jiang, W. Chen, Fault detection for a class of nonlinear networked control systems with markov transfer delays and stochastic packet drops. Circuits Syst. Signal Process. 34(4), 1211–1231 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  8. H. Dong, Z. Wang, J. Lam, H. Gao, Fuzzy-model-based robust fault detection with stochastic mixed time delays and successive packet dropouts. Syst. Man Cybern. Part B IEEE Trans. Cybern. 42, 365–376 (2012)

    Article  Google Scholar 

  9. J. Feng, S. Wang, Q. Zhao, Closed-loop design of fault detection for networked non-linear systems with mixed delays and packet losses. IET Control Theory Appl. 7, 858–868 (2013)

    Article  MathSciNet  Google Scholar 

  10. M. Gao, L. Sheng, Y. Liu, Z. Zhu, Observer-based \({H}_\infty \) fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts. Neurocomputing 173, 2001–2008 (2016)

    Article  Google Scholar 

  11. H. Hassani, J. Zarei, M. Chadli, J. Qiu, Unknown input observer design for interval type-2 T–S fuzzy systems with immeasurable premise variables. IEEE Trans. Cybern. 47(9), 2639–2650 (2017)

    Article  Google Scholar 

  12. X. He, Z. Wang, D.H. Zhou, Robust fault detection for networked systems with communication delay and data missing. Automatica 45, 2634–2639 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. L. Li, S.X. Ding, J. Qiu, Y. Yang, D. Xu, Fuzzy observer-based fault detection design approach for nonlinear processes. IEEE Trans. Syst. Man Cybern. Syst. 99(xx), 1–12 (2016)

    Article  Google Scholar 

  14. Z.H. Pang, G.P. Liu, D. Zhou, D. Sun, Data-based predictive control for networked nonlinear systems with network-induced delay and packet dropout. IEEE Trans. Ind. Electron. 63(2), 1249–1257 (2016)

    Article  Google Scholar 

  15. Y. Song, J. Hu, D. Chen, D. Ji, F. Liu, Recursive approach to networked fault estimation with packet dropouts and randomly occurring uncertainties. Neurocomputing 214, 340–349 (2016)

    Article  Google Scholar 

  16. J. Sun, J. Jiang, Delay and data packet dropout separately related stability and state feedback stabilisation of networked control systems. IET Control Theory Appl. 7(3), 333–342 (2013)

    Article  MathSciNet  Google Scholar 

  17. C. Tan, L. Li, H. Zhang, Stabilization of networked control systems with both network-induced delay and packet dropout. Automatica 59, 194–199 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  18. Z. Tang, J.H. Park, T.H. Lee, Dynamic output-feedback-based \({H}_\infty \) design for networked control systems with multipath packet dropouts. Appl. Math. Comput. 275, 121–133 (2016)

    MathSciNet  Google Scholar 

  19. X. Wan, H. Fang, Fault detection for networked nonlinear systems with time delays and packet dropouts. Circuits Syst. Signal Process. 31(1), 329–345 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  20. X. Wan, H. Fang, Fault detection for discrete-time networked nonlinear systems with incomplete measurements. Int. J. Syst. Sci. 44, 2068–2081 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  21. X. Wan, H. Fang, S. Fu, Observer-based fault detection for networked discrete-time infinite-distributed delay systems with packet dropouts. Appl. Math. Model. 36, 270–278 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  22. D. Wang, J. Wang, W. Wang, \({H}_\infty \) controller design of networked control systems with markov packet dropouts. IEEE Trans. Syst. Man Cybern. Syst. 43(3), 689–697 (2013)

    Article  Google Scholar 

  23. F.Y. Wang, D. Liu, Networked Control Systems (Springer, Berlin, 2008)

    Book  Google Scholar 

  24. Y. Wang, S. Xu, S. Zhang, Fault detection for a class of nonlinear networked control systems with markov sensors assignment and random transmission delays. J. Frankl. Inst. 351, 4653–4671 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  25. Y. Wang, S. Zhang, Y. Li, Fault detection for a class of non-linear networked control systems with data drift. IET Signal Process. 9, 120–129 (2015)

    Article  Google Scholar 

  26. G. Wei, Z. Wang, B. Shen, Probability-dependent gain-scheduled control for discrete stochastic delayed systems with randomly occurring nonlinearities. Int. J. Robust Nonlinear Control 23(7), 815–826 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  27. L. Wu, X. Su, P. Shi, Mixed \({H}_2/{H}_\infty \) approach to fault detection of discrete linear repetitive processes. J. Frankl. Inst. 348, 393–414 (2011)

    Article  MATH  Google Scholar 

  28. L. Wu, X. Yao, W.X. Zheng, Generalized \({H}_2\) fault detection for two-dimensional markovian jump systems. Automatica 48, 1741–1750 (2012)

    Article  MATH  Google Scholar 

  29. X. Xie, Q. Liu, Multi-instant fuzzy control design of nonlinear networked systems with data packet dropouts. Neurocomputing 194, 151–156 (2016)

    Article  Google Scholar 

  30. X. Xu, H. Yan, H. Zhang, F. Yang, \({H}_\infty \) filtering for TS fuzzy networked systems with stochastic multiple delays and sensor faults. Neurocomputing 207, 590–598 (2016)

    Article  Google Scholar 

  31. H. Yang, Y. Xia, H. Yuan, J. Yan, Quantized stabilization of networked control systems with actuator saturation. Int. J. Robust Nonlinear Control 26(16), 3595–3610 (2016). https://doi.org/10.1002/rnc.3525

    Article  MathSciNet  MATH  Google Scholar 

  32. D. Zhang, Q.L. Han, X. Jia, Network-based output tracking control for a class of TS fuzzy systems that can not be stabilized by nondelayed output feedback controllers. IEEE Trans. Cybern. 45(8), 1511–1524 (2015)

    Article  Google Scholar 

  33. J. Zhang, J. Lam, Y. Xia, Output feedback delay compensation control for networked control systems with random delays. Inf. Sci. 265, 154–166 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  34. Y. Zhang, H. Fang, Z. Liu, Fault detection for nonlinear networked control systems with markov data transmission pattern. Circuits Syst. Signal Process. 31(4), 1343–1358 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  35. Y. Zhang, Z. Liu, H. Fang, H. Chen, H\(\infty \) fault detection for nonlinear networked systems with multiple channels data transmission pattern. Inf. Sci. 221(534–543), 17 (2013)

    MathSciNet  Google Scholar 

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Correspondence to Jafar Zarei.

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Kargar, H., Zarei, J. & Razavi-Far, R. Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout. Circuits Syst Signal Process 38, 63–84 (2019). https://doi.org/10.1007/s00034-018-0867-8

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  • DOI: https://doi.org/10.1007/s00034-018-0867-8

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