Skip to main content

Advertisement

Log in

A Novel Dynamic Event-Triggered Dissipative Filtering for T–S Fuzzy Systems with Asynchronous Constraints

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

Abstract

This paper investigates the problem of dynamic event-triggered dissipative filtering for T–S fuzzy systems. First, a novel dynamic event-triggered mechanism (DETM) is proposed to save communication resources, and it is equipped with two dynamic trigger thresholds. One of the thresholds is a state-dependent time-varying threshold, which is adjusted to the output error. The other is an additional dynamic auxiliary variable, which is described by a differential equation. The DETM makes communication data be transmitted periodically to reduce computation and communication resources. Second, based on the proposed DETM, a new event-triggered reliable dissipative filter is designed to subject to the asynchronous constraint of the membership function. By constructing the Lyapunov function, sufficient conditions are developed to ensure asymptotic stability and strict dissipativity of the filtering error system. Finally, the given simulation example shows the effectiveness of the proposed method.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Data Availability

The authors declare that the theoretical method of this paper is original, and the used data in the simulation is available, which refers to [28].

References

  1. Yaman, T., Akkartal, G.R.: How warehouse location decisions changed in medical sector after pandemic? A fuzzy comparative study. J. Fuzzy. Ext. Appl. 3(1), 81–95 (2022)

    Google Scholar 

  2. Dirik, M.: Detection of counterfeit banknotes using genetic fuzzy system. J. Fuzzy. Ext. Appl. 3(4), 302–312 (2022)

    MATH  Google Scholar 

  3. Abbasimehr, H., Alizadeh, S.: A novel genetic algorithm based method for building accurate and comprehensible churn prediction models. Int. J. Res. Ind. Eng. 2(4), 1–14 (2013)

    MATH  Google Scholar 

  4. Meslameni, W., Kamoun, T.: Detection of an imbalance fault by vibration monitoring: case of a screw compressor. J. Appl. Res. Ind. Eng. 8(1), 27–39 (2021)

    MATH  Google Scholar 

  5. Bulut, U., Ozceylan, E.: Application of the fuzzy inference system to evaluate the quality of air textured warp yarn. J. Fuzzy. Ext. Appl. 3(1), 31–44 (2022)

    MATH  Google Scholar 

  6. Arora, S.R.V., Chugh, B.: A decision-making system for corona prognosis using fuzzy inference system. J. Fuzzy. Ext. Appl. 2(4), 344–354 (2021)

    MATH  Google Scholar 

  7. Umoh, U., Udoh, A.A.S., Abdulzeez, A.: Interval type-2 fuzzy logic system for remote vital signs monitoring and shock level prediction. J. Fuzzy. Ext. Appl. 2(1), 41–68 (2021)

    Google Scholar 

  8. Taghavifar, H., Mardani, C.H.A., Qin, Y.: Adaptive robust nonlinear active suspension control using an observer-based modified sliding mode interval type-2 fuzzy neural network. IEEE Trans. Intelli. Vehi. 5(1), 53–62 (2020)

    Article  MATH  Google Scholar 

  9. Wang, L., Lam, H.K.: \(h_{\infty }\) control for continuous-time takagi-sugeno fuzzy model by applying generalized lyapunov function and introducing outer variables. Automatica 125, 109409 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  10. Lendek, Z., Lauber, T.M.G.R.B.J., Schutter, B.D.: Adaptive observers for t-s fuzzy systems with unknown polynomial inputs. Fuzzy Sets Syst. 165(15), 2043–2065 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  11. Feng, G.: A survey on analysis and design of model-based fuzzy control systems. IEEE Trans. Fuzzy Syst. 14(5), 676–697 (2006)

    Article  MATH  Google Scholar 

  12. Wang, L., Liu, J., Lam, H.K.: Further study on stabilization for continuous-time takagi-sugeno fuzzy systems with time-delay. IEEE Trans. Cybern. 51(11), 5637–5643 (2021)

    Article  MATH  Google Scholar 

  13. Han, H., Zhang, X., Zhang, W.: Finite-time dissipative filtering for uncertain discrete-time systems with state and disturbance-dependent noise over fading channels. ISA Trans. 86, 134–143 (2019)

    Article  MATH  Google Scholar 

  14. Su, L., Ye, D.: Mixed \(h_\infty \) and passive event-triggered reliable control for t-s fuzzy markov jump systems. Neurocomputing 281, 96–105 (2018)

    Article  MATH  Google Scholar 

  15. Li, T., Deng, F., Fu, J., Chai, T.: Stabilization of switched linear neutral systems: an event-triggered sampling control scheme. IEEE Trans. Automat. Contr. 63(10), 3537–3544 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  16. Li, H., Gao, H., Zuo, Z., Liu, J.: Security control based on variable-step predictive approach for networked control system with denial-of-service attacks. Int. J. Robust Nonlinear Control 33(14), 8475–8489 (2023)

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang, X., Ding, D., Ge, X., Dong, H.: Neural-network-based control with dynamic event-triggered mechanisms under dos attacks and applications in load frequency control. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12), 5312–5324 (2022)

    Article  MATH  Google Scholar 

  18. Li, Z., Ma, D., Zhao, J.: Dynamic event-triggered \(l_{\infty }\) control for switched affine systems with sampled-data switching. Nonlinear Anal. Hybrid Syst. 39, 100978 (2021)

    Article  MATH  Google Scholar 

  19. Shu, F., Zhai, J.: Dynamic event-triggered output feedback control for a class of nonlinear systems with time-varying delays. Inform. Sci. 569, 205–216 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  20. Liu, D., Yang, G.: Dynamic event-triggered control for linear time-invariant systems with \(l_{2}\)-gain performance. Int. J. Robust Nonlinear Control 29, 507–518 (2019)

    Article  MATH  Google Scholar 

  21. Cao, L., Pan, Y., Liang, H., Huang, T.: Observer-based dynamic event-triggered control for multiagent systems with time-varying delay. IEEE Trans. Cybern. 53(5), 3376–3387 (2022)

    Article  MATH  Google Scholar 

  22. Xu, W., He, W., Ho, D.W., Kurths, J.: Fully distributed observer-based consensus protocol: adaptive dynamic event-triggered schemes. Automatica 139, 110188 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  23. Wang, J., Liu, J., Zhang, G., Guo, S.: Periodic event-triggered sliding mode control for lower limb exoskeleton based on human-robot cooperation. ISA Trans. 123, 87–97 (2021)

    Article  MATH  Google Scholar 

  24. Aranda-Escolastico, E., Colombo, L.J., Guinaldo, M.: Periodic event-triggered targeted shape control of lagrangian systems with discrete-time delays. ISA Trans. 117, 139–149 (2021)

    Article  MATH  Google Scholar 

  25. Zheng, S., Shi, P., Agarwal, R.: Periodic event-triggered output regulation for linear multi-agent systems. Automatica 122, 109223 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  26. Chen, Z., Zhang, H., Liu, J.: Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints. Neural Netw. 166, 1–10 (2023)

    Article  MATH  Google Scholar 

  27. Su, Y., X.Y., Shi, P.: Consensus-based vehicle platoon control under periodic event-triggered strategy. IEEE Trans. Syst. Man Cybern. Syst. (2023)

  28. Liu, Y., Guo, B.Z., Park, J.H., Lee, S.: Event-based reliable dissipative filtering for t-s fuzzy systems with asynchronous constraints. IEEE Trans. Fuzzy Syst. 26(4), 2089–2098 (2017)

    Article  MATH  Google Scholar 

  29. Wang, P., Yang, G., Pan, Y.: Event-triggered reliable dissipative filtering for nonlinear networked control systems. Neurocomputing 360, 120–130 (2019)

    Article  MATH  Google Scholar 

  30. Li, F., Du, C., Yang, C., Wu, L., Gui, W.: Finite-time asynchronous sliding mode control for markovian jump systems. Automatica 109, 108503 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  31. Du, C., Yang, C., Li, F., Shi, P.: Asynchronous output feedback control for fuzzy markovian jump systems via sliding mode. J. Frankl. Inst. 356(16), 8952–8970 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  32. Li, F., Zhang, X., Li, X., Yang, C.: Asynchronous filtering for delayed markovian jump systems via homogeneous polynomial approach. IEEE Trans. Automat. Contr. 65(5), 2163–2170 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  33. Tian, Y., Yan, H., Zhang, H., Cheng, J., Shen, H.: Asynchronous output feedback control of hidden semi-markov jump systems with random mode-dependent delays. IEEE Trans. Automat. Contr. 67(8), 4107–4114 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  34. Tian, Y., Wang, Z.: Asynchronous extended dissipative filtering for t-s fuzzy markov jump systems. IEEE Trans. Syst. Man Cybern. Syst. 52(6), 3915–3925 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  35. Zhang, Q., Yan, H., Wang, M., Li, Z., Chang, Y.: Asynchronous fault detection filter design for t-s fuzzy singular systems via dynamic event-triggered scheme. IEEE Trans. Fuzzy Syst. 31(3), 970–981 (2022)

    Article  MATH  Google Scholar 

  36. Sakthivel, R., Sathishkumar, M., Mathiyalagan, K.: Robust reliable dissipative filtering for markovian jump nonlinear systems with uncertainties. Int. J. Adapt. Control Signal Process. 31, 39–53 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  37. Coutinho, P.H., Palhares, R.M.: Dynamic periodic event-triggered gain-scheduling control co-design for quasi-lpv systems. Nonlinear Anal. Hybrid Syst. 41, 101044 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  38. Hu, C., Ding, S., Xie, X.: Event-based distributed set-membership estimation for complex networks under deception attacks. IEEE Trans. Autom. Sci. Eng. https://doi.org/10.1109/TASE.2023.3284448

  39. Bourahala, F., Guelton, K., Manamanni, N.: Relaxed controller design conditions for takagi-sugeno systems with state time-varying delays. Int. J. Fuzzy Syst. 19, 1406–1416 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  40. Peng, C., Yue, D., Fei, M.R.: Relaxed stability and stabilization conditions of networked fuzzy control systems subject to asynchronous grades of membership. IEEE Trans. Fuzzy Syst. 22(5), 1101–1112 (2014)

    Article  MATH  Google Scholar 

  41. Zhang, B., Zheng, W.X., Xu, S.: Filtering of markovian jump delay systems based on a new performance index. IEEE Trans. Circuits Syst. I Regul. Pap. 60(5), 1250–1263 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  42. Park, P., Ko, J., Jeong, C.: Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47, 235–238 (2011)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 62373133 and the S & T Program of Hebei 21567698 H.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sanbo Ding.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, C., Ding, S. A Novel Dynamic Event-Triggered Dissipative Filtering for T–S Fuzzy Systems with Asynchronous Constraints. Int. J. Fuzzy Syst. 26, 2407–2418 (2024). https://doi.org/10.1007/s40815-024-01693-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-024-01693-4

Keywords