Cluster Computing

, Volume 22, Supplement 4, pp 10185–10195 | Cite as

Predictive triggered control for networked control systems with event-triggered mechanism

  • Wei FuEmail author
  • Simon X. Yang
  • Chuanteng Huang
  • Guoquan Liu


This paper is concerned with the problem of state-feedback predictive control with event-triggered scheme in networked control systems (NCSs). NCSs suffer from inevitable imperfections, such as network-induced delay, packet dropouts and limited communications resource, which can degrade system performance even lead to system instability. In order to improve system performance and reduce network traffic, a novel structure of NCSs is proposed in this paper. Event-triggered mechanism is set up at both the sensor device and controller device to reduce feedback network traffic, forward network traffic and avoid frequent changes of actuator. The predictive controller, which depends on the event triggering interval, predicts the future triggered states of the controlled object. Based on the future triggered states, a new form of data packet that contains the sequence of future control input signals and its corresponding action time is designed to actively compensate for the impact of network delay and packet loss. The state-feedback gain has less conservativeness because it is assigned different values according to triggering intervals instead of a fix value. According to this control strategy, the closed-loop system is modeled as a switched control system and the stability criterion is established based on switched Lyapunov function technique. The effectiveness of the proposed control method is demonstrated by means of a numerical example. The performance of closed-loop system is improved. Meanwhile, the load of communication traffic is relieved.


Networked control systems Predictive control Event-triggered control 



The work is jointly supported by Doctoral Program Foundation of Zunyi Normal College (BS[2015]17#) and Youth Scientific Talents Project of Education Department of Guizhou Province of China (Qian Jiao He KY Zi [2016]257).


  1. 1.
    Ke-you, Y., Li-hua, X.: Survey of recent progress in networked control systems. Acta Autom. Sin. 39(2), 101–118 (2013)MathSciNetGoogle Scholar
  2. 2.
    Zhang, L., Gao, H., Kaynak, O.: Network-induced constraints in networked control systems: a survey. IEEE Trans. Ind. Inform. 9(1), 403–416 (2013)CrossRefGoogle Scholar
  3. 3.
    Kim, D.-Y., Kim, S.K.: Dual-channel medium access control of low power wide area networks considering traffic characteristics in IoE. Clust. Comput. 20(3), 2375–2384 (2017)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Yang, L., Zhang, M.: The research of organization optimization and overall control mechanism in multi-projects network. Clust. Comput. 20(2), 1411–1423 (2017)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Wang, Q., Zou, Y., Niu, Y.: Event-triggered model predictive control with quantizations. J. East China Univ. Sci. Technol. Nat. Sci. Ed. 42(2), 240–246 (2016)Google Scholar
  6. 6.
    Peng, C., Yang, T.C.: Event-triggered communication and control co-design for networked control systems. Automatical 49(5), 1326–1332 (2013)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Yue, D., Tian, E., Han, Q.: A delay system method for designing event-triggered controllers of networked control systems. IEEE Trans. Autom. Control 58(2), 475–481 (2013)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Zhang, H., Yue, D., Yin, X., Chen, J.: Adaptive model-based event-triggered control of networked control system with external disturbance. IET Control Theory Appl. 10(15), 1956–1962 (2016)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Shen, M., Yan, S., Zhang, G.: A new approach to event-triggered static output feedback control of networked control systems. ISA Trans. 11(65), 468–474 (2016)CrossRefGoogle Scholar
  10. 10.
    Zhao, W., Jian, S., Jie, C.: Stablility analysis of event-triggered networked control systems with time-varying delay. In: 34th Control Conference (CCC), pp. 6657–6661. Hangzhou, China (2015)Google Scholar
  11. 11.
    Qin, C., Zhang, H., Wang, Y., Luo, Y.: Neural network-based online H\(\infty \) control for discrete-time affine nonlinear system using adaptive dynamic programming. Neurocomputing 198, 91–99 (2016)CrossRefGoogle Scholar
  12. 12.
    Zhang, H., Qin, C., Jiang, B., Luo, Y.: Online adaptive policy learning algorithm for H\(\infty \) state feedback control of unknown affine nonlinear discrete-time systems. IEEE Trans. Cybern. 44(12), 2706–2718 (2014)CrossRefGoogle Scholar
  13. 13.
    Peng, C., Yang, T.: Event-triggered communication and \(H_{\infty }\) control co-design for networked control systems. Automatica 49(5), 1326–1332 (2013)MathSciNetCrossRefGoogle Scholar
  14. 14.
    Hu, S., Yue, D., Xie, X., Du, Z.: Event-triggered \(H_{\infty }\) stabilization for networked stochastic systems with multiplicative noise and network-induced delays. Inf. Sci. 299, 178–197 (2015)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Yan, S., Zhang, G., Li, T., et al.: \(H\infty \) static output control of discrete-time networked control systems with an event-triggered scheme. Circuits Syst. Signal Process. (2017). doi: 10.1007/s00034-017-0563-0
  16. 16.
    Qu, F., Guan, Z., He, D., Chi, M.: Evnt-triggered control for networked control systems with quantization and packet losses. J. Frankl. Inst. 352(3), 974–986 (2014)CrossRefGoogle Scholar
  17. 17.
    Hu, S., Yue, D.: Event-triggered control design of linear networked control systems with quantizations. ISA Trans. 51(1), 153–162 (2012)CrossRefGoogle Scholar
  18. 18.
    Yan, H., Yan, S., Zhang, H., Shi, H.: \(\text{ L }_{2}\) control design of event-triggered networked control systems with quantizations. J. Frankl. Inst. 325(1), 332–345 (2015)CrossRefGoogle Scholar
  19. 19.
    Mahmoud, M.S., Sabih, M., Elshafei, M.: Event-triggered output feedback for distributed networked systems. ISA Trans. 60, 294–302 (2016)CrossRefGoogle Scholar
  20. 20.
    Wang, H., Shi, P., Zhang, J.: Event-triggered fuzzy filtering for a class of nonlinear networked control systems. Signal Process. 113(C), 159–168 (2015)CrossRefGoogle Scholar
  21. 21.
    Hu, S., Yue, D., Peng, C., Xie, X., Yin, X.: Event-triggered controller design of nonlinear discrete-time networked control systems in T-S fuzzy model. Appl. Soft Comput. 30(C), 400–411 (2015)CrossRefGoogle Scholar
  22. 22.
    Chen, Y., Li, M.: Overview and research trends of predictive control method for network control systems. J. Univ. Electr. Sci. Technol. China 45(4), 564–572 (2016)zbMATHGoogle Scholar
  23. 23.
    Li, H., Shi, Y.: Networked min-max model predictive control of constrained nonlinear systems with delays and packet dropouts. Int. J. Control 86(4), 610–624 (2013)MathSciNetCrossRefGoogle Scholar
  24. 24.
    Tian, Z., Gao, X., Li, K.: Time-delay prediction method of networked control system based on EMD and LS-SVM. Act Electron. Sin. 42(5), 868–874 (2014)Google Scholar
  25. 25.
    Yin, X., Yue, D., Hu, S., Peng, C., Xue, Y.: Model-based event-triggered predictive control for networked systems with data-dropout. Siam J. control Optim. 54(2), 567–586 (2016)MathSciNetCrossRefGoogle Scholar
  26. 26.
    Yue, D., Yin, X., Hu, S.: Event-triggered predictive control for networked systems with time-varying communication delays. In: Conference of the IEEE Industrial Electronics Society, vol. 25, no. 18, pp. 3662–3668 (2014)Google Scholar
  27. 27.
    Yin, X.: Study on Event-Triggered Control of Complex Networked Systems. Huazhong university of science & technology, Wuhan (2014)Google Scholar
  28. 28.
    Yin, X., Yue, D., Hu, S.: Model-based event-triggered predictive control for networked systems wth communication delays compensation. Int. J. Robust Nonlinear Control 25(18), 3572–3595 (2014)CrossRefGoogle Scholar
  29. 29.
    Hu, S., Yue, D.: \(\text{ L }_{2}\)-Gain analysis of event-triggered networked control systems: a discontinuous Lyapunov functional approach. Int. J. Robust Nonlinear Control 23(11), 1277–1300 (2013)CrossRefGoogle Scholar
  30. 30.
    Amato, F., Ariola, M.: Finite-time control of discrete-time linear system. IEEE Trans. Autom. Control 50(5), 724–729 (2005)MathSciNetCrossRefGoogle Scholar
  31. 31.
    Min, H., Wang, S., Sun, F., Zhang, J.: Robust consensus for networked mechanical systems with coupling time delay. Int. J. Control Autom. Syst. 10(2), 227–237 (2012)CrossRefGoogle Scholar
  32. 32.
    Zheng, D.: Linear system theory. In: Zheng, D. (ed.) Linear System Theory, pp. 273–278. Tsinghua University Press, Beijing (2002)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Wei Fu
    • 1
    Email author
  • Simon X. Yang
    • 1
  • Chuanteng Huang
    • 2
  • Guoquan Liu
    • 3
  1. 1.Automation CollegeChongqing UniversityChongqingChina
  2. 2.School of Engineering and TechnologyZunyi Normal CollegeZunyiChina
  3. 3.School of Mechanical and Electronic EngineeringEast China University of TechnologyNanchangChina

Personalised recommendations