Skip to main content
Log in

Robust Fault Detection for Nonlinear Discrete Systems with Data Drift and Randomly Occurring Faults Under Weighted Try-Once-Discard Protocol

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

This paper is concerned with the robust fault detection (FD) problem for discrete uncertain systems with data drift, randomly occurring faults (ROFs) and randomly occurring nonlinearities (RONs) under weighted try-once-discard (WTOD) protocol. The phenomena of the RONs are characterized by the Bernoulli distributed variable. The Markov chain with two states is introduced to describe the ROFs in the system. The data drift is depicted by an array of mutually independent stochastic variables with individual probabilistic distribution functions. Moreover, the WTOD protocol is utilized to lessen the incidence of data collisions and enhance the communication efficiency. An FD filter is established, and sufficient conditions are proposed under which the resultant filtering error system is stochastically stable and achieves a prescribed \(H_{\infty }\) performance irrespective of the simultaneous presence of the WTOD protocol mechanism, ROFs, RONs and data drift. Besides, the form of the desired filter parameters is presented in terms of the solutions to certain matrix inequalities. Finally, two examples are exploited to demonstrate the feasibility of the obtained robust FD algorithm.

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
Fig. 9

Similar content being viewed by others

References

  1. L. Cao, Q. Zhou, G. Dong, H. Li, Observer-based adaptive event-triggered control for nonstrict-feedback nonlinear systems with output constraint and actuator failures. IEEE Trans. Syst. Man Cybern. Syst. (2019). https://doi.org/10.1109/TSMC.2019.2895858

    Article  Google Scholar 

  2. W. Chen, J. Hu, X. Yu, D. Chen, Protocol-based fault detection for discrete delayed systems with missing measurements: the uncertain missing probability case. IEEE Access 6, 76616–76626 (2018)

    Article  Google Scholar 

  3. Y. Chen, Z. Wang, W. Qian, F.E. Alsaadi, Finite-horizon \(H_{\infty }\) filtering for switched time-varying stochastic systems with random sensor nonlinearities and packet dropouts. Signal Process. 138, 138–145 (2017)

    Article  Google Scholar 

  4. Y. Chen, Z. Wang, B. Shen, H. Dong, Exponential synchronization for delayed dynamical networks via intermittent control: dealing with actuator saturations. IEEE Trans. Neural Netw. Learn. Syst. 30(4), 1000–1012 (2019)

    Article  MathSciNet  Google Scholar 

  5. H. Dong, N. Hou, Z. Wang, H. Liu, Finite-horizon fault estimation under imperfect measurements and stochastic communication protocol: dealing with finite-time boundedness. Int. J. Robust Nonlinear Control 29(1), 117–134 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  6. H. Dong, Z. Wang, S.X. Ding, H. Gao, On \(H_{\infty }\) estimation of randomly occurring faults for a class of nonlinear time-varying systems with fading channels. IEEE Trans. Autom. Control 61(2), 479–484 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  7. H. Dong, Z. Wang, H. Gao, On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays. Signal Process. 92(4), 1117–1125 (2012)

    Article  Google Scholar 

  8. H. Gao, T. Chen, L. Wang, Robust fault detection with missing measurements. Int. J. Control 81(5), 804–819 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  9. X. He, Z. Wang, Y.D. Ji, D. Zhou, Fault detection for discrete-time systems in a networked environment. Int. J. Syst. Sci. 41(8), 937–945 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  10. J. Hu, D. Chen, J. Du, State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays. Int. J. General Syst. 43(3–4), 387–401 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  11. J. Hu, Z. Wang, F.E. Alsaadi, T. Hayat, Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities. Inf. Fusion 38, 74–83 (2017)

    Article  Google Scholar 

  12. J. Hu, Z. Wang, H. Gao, Joint state and fault estimation for uncertain time-varying nonlinear systems with randomly occurring faults and sensor saturations. Automatica 97, 150–160 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  13. J. Hu, Z. Wang, S. Liu, H. Gao, A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements. Automatica 64, 155–162 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  14. J. Hu, H. Zhang, X. Yu, H. Liu, D. Chen, Design of sliding-mode-based control for nonlinear systems with mixed-delays and packet losses under uncertain missing probability. IEEE Trans. Syst. Man Cybern. Syst. (2019). https://doi.org/10.1109/TSMC.2019.2919513

    Article  Google Scholar 

  15. M.G. Kazemi, M. Montazeri, Robust fault detection of uncertain Lipschitz nonlinear systems with simultaneous disturbance attenuation level and enhanced fault sensitivity and Lipschitz constant. Circuits Syst. Signal Process. 37(10), 4256–4278 (2018)

    Article  MathSciNet  Google Scholar 

  16. B. Khaldi, F. Harrou, F. Cherif, Y. Sun, Monitoring a robot swarm using a data-driven fault detection approach. Robot. Auton. Syst. 97, 193–203 (2017)

    Article  Google Scholar 

  17. X. Li, H. Dong, Z. Wang, F. Han, Set-membership filtering for state-saturated systems with mixed time-delays under weighted try-once-discard protocol. IEEE Trans. Circuits Syst. II Express Briefs 66(2), 312–316 (2019)

    Article  Google Scholar 

  18. H. Li, Y. Gao, P. Shi, H.K. Lam, Observer-based fault detection for nonlinear systems with sensor fault and limited communication capacity. IEEE Trans. Autom. Control 61(9), 2745–2751 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  19. H. Liang, Z. Zhang, C.K. Ahn, Event-triggered fault detection and isolation of discrete-time systems based on geometric technique. IEEE Trans. Circuits Syst. II Express Briefs (2019). https://doi.org/10.1109/TCSII.2019.2912846

    Article  Google Scholar 

  20. H. Liang, Y. Zhang, T. Huang, H. Ma, Prescribed performance cooperative control for multiagent systems with input quantization. IEEE Trans. Cybern. (2019). https://doi.org/10.1109/TCYB.2019.2893645

    Article  Google Scholar 

  21. H. Liang, L. Zhang, H.R. Karimi, Q. Zhou, Fault estimation for a class of nonlinear semi-Markovian jump systems with partly unknown transition rates and output quantization. Int. J. Robust Nonlinear Control 28(18), 5962–5980 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  22. L. Liu, Y. Wang, L. Ma, J. Zhang, Y. Bo, Robust finite-horizon filtering for nonlinear time-delay Markovian jump systems with weighted try-once-discard protocol. Syst. Sci. Control Eng. 6(1), 180–194 (2018)

    Article  Google Scholar 

  23. J. Liu, D. Yue, Event-based fault detection for networked systems with communication delay and nonlinear perturbation. J. Frankl. Inst. 350(9), 2791–2807 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  24. H. Ma, H. Li, H. Liang, G. Dong, Adaptive fuzzy event-triggered control for stochastic nonlinear systems with full state constraints and actuator faults. IEEE Trans. Fuzzy Syst. (2019). https://doi.org/10.1109/TFUZZ.2019.2896843

    Article  Google Scholar 

  25. M. Meng, J. Lam, J. Feng, K.C. Cheung, Stability and stabilization of boolean networks with stochastic delays. IEEE Trans. Autom. Control 64(2), 790–796 (2019)

    MathSciNet  MATH  Google Scholar 

  26. B. Shen, S .X. Ding, Z. Wang, Finite-horizon \(H_{\infty }\) fault estimation for uncertain linear discrete time-varying systems with known inputs. IEEE Trans. Circuits Syst. II Express Briefs 60(12), 902–906 (2013)

    Article  Google Scholar 

  27. Y. Tan, D. Du, S. Fei, Co-design of event generator and quantized fault detection for time-delayed networked systems with sensor saturations. J. Frankl. Inst. 354(15), 6914–6937 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  28. E. Tian, Z. Wang, L. Zou, D. Yue, Probabilistic-constrained filtering for a class of nonlinear systems with improved static event-triggered communication. Int. J. Robust Nonlinear Control 29(5), 1484–1498 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  29. E. Tian, W.K. Wong, D. Yue, T.C. Yang, \(H_{\infty }\) filtering for discrete-time switched systems with known sojourn probabilities. IEEE Trans. Autom. Control 60(9), 2446–2451 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  30. X. Wan, Z. Wang, M. Wu, X. Liu, State estimation for discrete time-delayed genetic regulatory networks with stochastic noises under the round-robin protocols. IEEE Trans. Nanobiosci 17(2), 145–154 (2018)

    Article  Google Scholar 

  31. G. Wang, M. Liu, Fault detection for discrete-time systems with fault signal happening randomly: the Markov approach. IEEE Access 5, 14680–14689 (2017)

    Article  Google Scholar 

  32. Z. Wang, Y. Wang, Y. Liu, Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays. IEEE Trans. Neural Netw. 21(1), 11–25 (2010)

    Article  Google Scholar 

  33. D. Wang, Z. Wang, B. Shen, Q. Li, \(H_{\infty }\) finite-horizon filtering for complex networks with state saturations: the weighted try-once-discard protocol. Int. J. Robust Nonlinear Control 29(7), 2096–2111 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  34. Y. Wang, S. Zhang, Y. Li, Fault detection for a class of non-linear networked control systems with data drift. IET Signal Process. 9(2), 120–129 (2015)

    Article  Google Scholar 

  35. Y. Wang, S. Zhang, Z. Li, M. Zhang, Fault detection for a class of nonlinear singular systems over networks with mode-dependent time delays. Circuits Syst. Signal Process. 33(10), 3085–3106 (2014)

    Article  MathSciNet  Google Scholar 

  36. R. Yang, W.X. Zheng, \(H_{\infty }\) filtering for discrete-time 2-D switched systems: an extended average dwell time approach. Automatica 98, 302–313 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  37. H. Zhang, J. Hu, H. Liu, X. Yu, F. Liu, Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol. Neurocomputing 346, 48–57 (2019)

    Article  Google Scholar 

  38. L. Zhang, H. Liang, Y. Sun, C.K. Ahn, Adaptive event-triggered fault detection for semi-Markovian jump systems with output quantization. IEEE Trans. Syst. Man Cybern. Syst. (2019). https://doi.org/10.1109/TSMC.2019.2912846

    Article  Google Scholar 

  39. Z. Zhang, H. Liang, C. Wu, C.K. Ahn, Adaptive event-triggered output feedback fuzzy control for nonlinear networked systems with packet dropouts and random actuator failure. IEEE Trans. Fuzzy Syst. (2019). https://doi.org/10.1109/TFUZZ.2019.2891236

    Article  Google Scholar 

  40. Y. Zhang, Z. Wang, L. Zou, Z. Liu, Fault detection filter design for networked multi-rate systems with fading measurements and randomly occurring faults. IET Control Theory Appl. 10(5), 573–581 (2016)

    Article  MathSciNet  Google Scholar 

  41. L. Zou, Z. Wang, H. Gao, Set-membership filtering for time-varying systems with mixed time-delays under round-robin and weighted try-once-discard protocols. Automatica 74, 341–348 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  42. L. Zou, Z. Wang, H. Gao, F.E. Alsaadi, Finite-horizon \(H_{\infty }\) consensus control of time-varying multi-agent systems with stochastic communication protocol. IEEE. Trans. Cybern. 47(8), 1830–1840 (2017)

    Article  Google Scholar 

  43. L. Zou, Z. Wang, Q.L. Han, D. Zhou, Ultimate boundedness control for networked systems with try-once-discard protocol and uniform quantization effects. IEEE Trans. Autom. Control 62(12), 6582–6588 (2017)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Hu.

Ethics declarations

Conflict of interest

The authors claim that there are no potential conflicts of interest. In addition, this submission has been approved by all co-authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This work was supported in part by the National Natural Science Foundation of China under Grants 61673141 and 61571168, the Fok Ying Tung Education Foundation of China under Grant 151004, the Outstanding Youth Science Foundation of Heilongjiang Province of China under Grant JC2018001, the Natural Science Foundation of Heilongjiang Province of China under Grant A2018007, and the Alexander von Humboldt Foundation of Germany.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, W., Hu, J., Yu, X. et al. Robust Fault Detection for Nonlinear Discrete Systems with Data Drift and Randomly Occurring Faults Under Weighted Try-Once-Discard Protocol. Circuits Syst Signal Process 39, 111–137 (2020). https://doi.org/10.1007/s00034-019-01184-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-019-01184-0

Keywords

Navigation