Skip to main content
Log in

Event-triggered Extended Dissipative Control for Networked Singular Systems

  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

In this paper, an event-triggered extended dissipative control problem for networked singular systems is investigated, where the extended dissipativity analysis unifies the H performance, L2L performance, passivity, (Q, S, R)-dissipativity in one framework. Under the event-triggered scheme, the closed-loop system is modeled as a time-delay system. Some sufficient conditions for extended dissipativity are developed and presented in terms of linear matrix inequalities (LMIs). Then the design of the state feedback controller becomes a matter of solving a set of LMIs. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

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.

Similar content being viewed by others

References

  1. L. Y. Dai, Singular Control Systems, Springer-Verlag, 1989.

  2. F. J. Bejarano, “Functional unknown input reconstruction of descriptor systems: Application to fault detection,” Automatica, vol. 57, pp. 145–151, 2015.

    Article  MathSciNet  MATH  Google Scholar 

  3. J. Zhou, Y. Lv, B. Pang, and C. P. Xue, “ filtering for a class of singular time-delay systems,” International Journal of Control, Automation and Systems, vol. 17, pp. 3131–3139, 2019.

    Article  Google Scholar 

  4. Z. Feng and J. Lam, “On reachable set estimation of singular systems,” Automatica, vol. 52, pp. 146–153, 2015.

    Article  MathSciNet  MATH  Google Scholar 

  5. Z. Wu and W. Zhou, “Delay-dependent robust control for uncertain singular time-delay systems,” IET Control Theory and Applications, vol. 1, pp. 1234–1241, 2007.

    Article  MathSciNet  Google Scholar 

  6. X. M. Zhang, Q. L. Han, and X. Yu, “Survey on recent advances in networked control systems,” IEEE Transactions on Industrial Informatics, vol. 12, no. 5, pp. 1740–1752, 2015.

    Article  Google Scholar 

  7. T. Li, Z. Li, L. Zhang, and S. Fei, “Improved approaches on adaptive event-triggered output feedback control of networked control systems,” Journal of the Franklin Institute, vol. 355, no. 5, pp. 2515–2535, 2018.

    Article  MathSciNet  MATH  Google Scholar 

  8. Y. L. Wang and Q. L. Han, “Network-based modelling and dynamic output feedback control for unmanned marine vehicles in network environments,” Automatica, vol. 91, pp. 43–53, 2018.

    Article  MathSciNet  MATH  Google Scholar 

  9. J. Alcaina, A. Cuenca, J. Salt, V. Casanova, and R. Pizá, “Delay-independent dual-rate PID controller for a packet-based networked control system,” Information Sciences, vol. 484, pp. 27–43, 2019.

    Article  MATH  Google Scholar 

  10. S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “Periodic event-triggered control for networked control systems based on non-monotonic Lyapunov functions,” Automatica, vol. 106, pp. 35–46, 2019.

    Article  MathSciNet  MATH  Google Scholar 

  11. Y. P. Wu and Y. Wu, “Linear matrix inequality approach to stochastic stabilization of networked control system with Markovian jumping parameters,” International Journal of Control, Automation and Systems, vol. 17, pp. 405–414, 2019.

    Article  Google Scholar 

  12. M. Bahreini and J. Zarei, “Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach,” Nonlinear Analysis: Hybrid Systems, vol. 36, 100873, 2020.

    MathSciNet  MATH  Google Scholar 

  13. D. X. Liao, S. M. Zhong, J. N. Luo, X. J. Zhang, Y. B. Yu, and Q. S. Zhong, “Improved delay-dependent stability criteria for networked control system with two additive input delays,” International Journal of Control, Automation and Systems, vol. 17, pp. 1–9, 2019.

    Article  Google Scholar 

  14. H. J. Liang, X. Y. Guo, Y. N. Pan, and T. W. Huang, “Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers,” IEEE Transactions on Fuzzy Systems, 2020. DOI: https://doi.org/10.1109/TFUZZ.2020.2982618

  15. G. M. Zhuang, J. W. Xia, J. L. Zhao, and H. Zhang, “Non-fragile output tracking control for uncertain singular Markovian jump delay systems with network-induced delays and data packet dropouts,” Complexity, vol. 21, pp. 396–411, 2016.

    Article  MathSciNet  Google Scholar 

  16. Y. H. Liu, H. M. Zhi, J. M. Wei, X. L. Zhu, and Q. X. Zhu, “Event-triggered control for linear continuous switched singular systems,” Applied Mathematics and Computation, vol. 374, 125038, 2020.

    Article  MathSciNet  MATH  Google Scholar 

  17. R. Sakthivel, S. Santra, and B. Kaviarasan, “Resilient sampled-data control design for singular networked systems with random missing data,” Journal of the Franklin Institute, vol. 355, pp. 1040–1072, 2018.

    Article  MathSciNet  MATH  Google Scholar 

  18. R. Sakthivel, M. Rathika, B. Kaviarasan, and H. Shen, “Stabilization criteria for singular fuzzy systems with random delay and mixed actuator failures,” Asian Journal of Control, vol. 20, pp. 829–838, 2018.

    Article  MathSciNet  MATH  Google Scholar 

  19. W. Sun, Q. Y. Li, C. J. Chao, and S. K. Nguang, “Mode-dependent dynamic output feedback control of networked systems with Markovian jump delay via generalized integral inequalities,” Information Sciences, vol. 520, pp. 105–116, 2020.

    Article  MathSciNet  Google Scholar 

  20. F. Q. Li, L. S. Gao, and B. Z. Zheng, “Dual-side event-triggered output feedback control for NCSs with communication delays,” International Journal of Control, Automation and Systems, vol. 16, pp. 108–119, 2018.

    Article  Google Scholar 

  21. H. Yan, S. Yan, H. Zhang, and H. Shi, “L control design of event-triggered networked control systems with quantizations,” Journal of the Franklin Institute, vol. 352, no. 1, pp. 332–345, 2015.

    Article  MathSciNet  MATH  Google Scholar 

  22. L. Fu and Y. C. Ma, “Passive control for singular time-delay system with actuator saturation,” Applied Mathematics and Computation, vol. 289, pp. 181–193, 2016.

    Article  MathSciNet  MATH  Google Scholar 

  23. J. Wang, X. M. Zhang, Y. Lin, X. Ge, and Q. L. Han, “Event-triggered dissipative control for networked stochastic systems under non-uniform sampling,” Information Sciences, vol. 447, pp. 216–228, 2018.

    Article  MATH  Google Scholar 

  24. J. W. Xia, G. L. Chen, and J. H. Park, “Dissipativity-based sampled-data control for fuzzy switched Markovian jump systems,” IEEE Transactions on Fuzzy Systems, 2020. DOI:https://doi.org/10.1109/TFUZZ.2020.2970856

  25. X. Y. Liang, J. W. Xia, G. L. Chen, H. S. Zhang, and Z. Wang, “Dissipativity-based sampled-data control for fuzzy Markovian jump systems,” Applied Mathematics and Computation, vol. 361, pp. 552–564, 2019.

    Article  MathSciNet  MATH  Google Scholar 

  26. B. Y. Zhang, W. X. Zheng, and S. Xu, “Filtering of Markovian jump delay systems based on a new performance index,” IEEE Trans Syst Regul Pap, vol. 60, no. 5, pp. 1250–1263, 2013.

    Article  MathSciNet  Google Scholar 

  27. S. L. Dong, M. Fang, and S. M. Chen, “Extended dissipativity asynchronous static output feedback control of Markov jump systems,” Information Sciences, vol. 514, pp. 275–287, 2020.

    Article  MathSciNet  Google Scholar 

  28. H. Gao, J. W. Xia, and G. M. Zhuang, “Robust finite-time extended dissipative control for a class of uncertain switched delay systems,” International Journal of Control, Automation and Systems, vol. 16, pp. 1459–1468, 2019.

    Article  Google Scholar 

  29. X. Wang, X. Z. Liu, K. She, S. M. Zhong, and Q. S. Zhong, “Extended dissipative memory sampled-data synchronization control of complex networks with communication delays,” Neurocomputing, vol. 347, pp. 1–12, 2019.

    Article  Google Scholar 

  30. W. Q. Xie, H. Zhu, S. M. Zhong, J. Chen, and K. B. Shi, “Extended dissipative resilient estimator design for discrete-time switched neural networks with unreliable links,” Nonlinear Analysis: Hybrid Systems, vol. 32, pp. 19–36, 2019.

    MathSciNet  MATH  Google Scholar 

  31. N. Gnaneswaran, Y. H. Joo, and H. S. Kim, “A linear matrix inequality-based extended dissipativity criteria for linear systems with additive time-varying delays,” IFAC Journal of Systems and Control, vol. 10, 100070, 2020.

    Article  MathSciNet  Google Scholar 

  32. J. Lunze and D. Lehmann, “A state-feedback approach to event-based control,” Automatica, vol. 46, no. 1, pp. 211–215, 2010.

    Article  MathSciNet  MATH  Google Scholar 

  33. K. B. Shi, X. Z. Liu, Y. Y. Tang, H. Zhu, and S. M. Zhong, “Some novel approaches on state estimation of delayed neural networks,” Information Sciences, vol. 372, pp. 313–331, 2016.

    Article  MATH  Google Scholar 

  34. K. B. Shi, J. Wang, Y. Y. Tang, and S. M. Zhong, “Reliable asynchronous sampled-data filtering of T-S fuzzy uncertain delayed neural networks with stochastic switched topologies,” Fuzzy Sets and Systems, vol. 381, pp. 1–25, 2020.

    Article  MathSciNet  Google Scholar 

  35. K. B. Shi, J. Wang, S. M. Zhong, Y. Y. Tang, and J. Cheng, “Hybrid-driven finite-time sampling synchronization control for coupling memory complex networks with stochastic cyber attacks,” IEEE Transactions on Automatic Control, vol. 387, pp. 241–254, 2020.

    Google Scholar 

  36. H. J. Liang, L. C. Zhang, Y. H. Sun, and T. W. Huang, “Containment control of semi-Markovian multi-agent systems with switching topologies,” IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019. DOI: https://doi.org/10.1109/TSMC.2019.2946248

  37. D. Yue, E. Tian, and Q. L. Han, “A delay system method for designing event-triggered controllers of networked control systems,” IEEE Transactions on Automatic Control, vol. 58, no. 2, pp. 475–481, 2013.

    Article  MathSciNet  MATH  Google Scholar 

  38. S. Hu, D. Yue, X. P. Xie, and Z. P. Du, “Event-triggered stabilization for networked stochastic systems with multiplicative noise and network-induced delays,” Information Sciences, vol. 299, pp. 178–197, 2015.

    Article  MathSciNet  MATH  Google Scholar 

  39. H. Wang, Y. J. Ying, R. Q. Lu, and A. K. Xue, “Network-based control for singular systems with event-triggered sampling scheme,” Information Sciences An International Journal, vol. 329, pp. 540–551, 2016.

    Article  MATH  Google Scholar 

  40. R. Sakthivel, S. Santra, B. Kaviarasan, and K. Venkatanareshbabu, “Dissipative analysis for network-based singular systems with non-fragile controller and event-triggered sampling scheme,” Journal of the Franklin Institute, vol. 354, no. 12, pp. 4739–4761, 2017.

    Article  MathSciNet  MATH  Google Scholar 

  41. S. Xu and J. Lam, Robust Control and Filtering of Singular Systems, Springer, 2006.

  42. D. Yue, E. Tian, Y. Zhang, and C. Peng, “Delay-distribution-dependent stability and stabilization of T-S fuzzy systems with probabilistic interval delay,” IEEE Trans. Syst. Man. Cybern. B: Cybern., vol. 39, no. 2, pp. 503–516, 2009.

    Article  Google Scholar 

  43. E. Fridman, “A refined input delay approach to sampleddata control,” Automatica, vol. 46, no. 2, pp. 421–427, 2010.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianwei Xia.

Additional information

Publisher’s Note

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

Recommended by Associate Editor Ohmin Kwon under the direction of Editor Jessie (Ju H.) Park.

This work was supported by the National Natural Science Foundation of China under Grants 61973148, 61773191,Natural Science Foundation of Shandong Province under Grant ZR2018MF028.

Meiyu Li received her B.S. degree in mathematics and applied mathematics from Dezhou University, Dezhou, China, in 2016. She is currently a graduate student of School of Mathematical Sciences, Liaocheng University. Her current research interests include Networked control systems, event-triggered control, etc.

Jianwei Xia is a professor of the School of Mathematics Science, Liaocheng University. He received a Ph.D. degree in automatic control from Nanjing University of Science and Technology in 2007. From 2010 to 2012, he worked as a Postdoctoral Research Associate in the School of Automation, Southeast University, Nanjing, China. From 2013 to 2014, he worked as a Postdoctoral Research Associate in the Department of Electrical Engineering, Yeungnam University, Kyongsan, Korea. His research topics are robust control, stochastic systems and neural networks.

Junsheng Zhao received his B.S. degree in mathematics from Liaocheng University in 2003, an M.S. in mathematics from Qufu Normal University and a D.E. in the School of Automation, Southeast Univer sity in 2015. Since 2006, he has been with Liaocheng University, China, where he is currently an associate Professor. His current research interests include stochastic control and neural networks.

Huasheng Zhang is an Associate Professor of the School of Mathematics Science, Liaocheng University. He received an M.Sc. degree from Shandong Normal University, China, in 2006, and received a Ph.D. degree in automatic control from Shanghai University in 2009. His current research interests include robust control and filtering, time-delay systems, stochastic systems and neural networks.

Hao Shen received his Ph.D. degree in control theory and control engineering from Nanjing University of Science and Technology, Nanjing, China, in 2011. From February 2013 to March 2014, he was a Post-Doctoral Fellow with the Department of Electrical Engineering, Yeungnam University, Korea. Since 2011, he has been with Anhui University of Technology, China, where he is currently a Professor and a Doctoral Supervisor. His current research interests include stochastic hybrid systems, complex networks, fuzzy systems and control, nonlinear control. Dr. Shen has served on the technical program committee for several international conferences. He is an Associate Editor/Guest Editor for several international journals, including IEEE ACCES, Journal of The Franklin Institute, Applied Mathematics and Computation, Transactions of the Institute Measurement and Control and Mathematical Problems in Engineering. Prof. Shen was a recipient of the Highly Cited Researcher Award by Clarivate Analytics (formerly, Thomson Reuters) in 2019.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, M., Xia, J., Zhao, J. et al. Event-triggered Extended Dissipative Control for Networked Singular Systems. Int. J. Control Autom. Syst. 19, 382–391 (2021). https://doi.org/10.1007/s12555-020-0140-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-020-0140-3

Keywords

Navigation