Skip to main content
Log in

Observer-based Event-triggered Bipartite Consensus of Linear Multi-agent Systems

  • Regular Papers
  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

The event-triggered bipartite consensus problem of linear multi-agent systems with a connected structurally balanced signed graph is considered in this paper. The state observer is set to estimate the actual states of the system. In the system structure, two event-triggered mechanisms are configured for each agent. The one is placed in the output side of the agent and the other in the controller. Thus the establishment of the state observer is based on the discrete output information sampled at the corresponding triggering time instants. And the inter-neighboring transmission of the observed states occurs at the moments when the corresponding triggering condition of the agent is satisfied. The triggering conditions designed do not rely on continuous inter-neighboring communications. With the help of the algebraic graph theory and Lyapunov stability theory, it is proved that the bipartite consensus can be achieved. Furthermore, Zeno behavior can be avoided in both sides. The effectiveness of the presented control strategy is demonstrated by a numerical simulation.

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. D. V. Dimarogonas, E. Frazzoli, and K. H. Johansson, “Distributed event-triggered control for multi-agent systems,” IEEE Transactions on Automatic Control, vol. 57, no. 5, pp. 1291–1297, May 2012.

    Article  MathSciNet  Google Scholar 

  2. G. S. Seyboth, D. V. Dimarogonas, and K. H. Johansson, “Event-based broadcasting for multi-agent average consensus,” Automatica, vol. 49, no. 1, pp. 235–252, January 2013.

    Article  MathSciNet  Google Scholar 

  3. E. Garcia, Y. Cao, H. Yu, P. J. Antsaklis, and D. W. Casbeer, “Decentralised event-triggered cooperative control with limited communication,” International Journal of Control, vol. 86, no. 9, pp. 1479–1488, April 2013.

    Article  MathSciNet  Google Scholar 

  4. Y. Fan, G. Feng, Y. Wang, and C. Song, “Distributed event-triggered control of multi-agent systems with combinational measurements,” Automatica, vol. 49, no. 2, pp. 671–675, February 2013.

    Article  MathSciNet  Google Scholar 

  5. C. Nowzari and J. Cortes, “Distributed event-triggered coordination for average consensus on weight-balanced digraphs,” Automatica, vol. 68, pp. 237–244, June 2016.

    Article  MathSciNet  Google Scholar 

  6. E. Garcia, Y. Cao, and D. W. Casbeer, “Decentralized event-triggered consensus with general linear dynamics,” Automatica, vol. 50, no. 10, pp. 2633–2640, October 2014.

    Article  MathSciNet  Google Scholar 

  7. P. Yu, L. Ding, Z. Liu, and Z. Guan, “A distributed event-triggered transmission strategy for exponential consensus of general linear multi-agent systems with directed topology,” Journal of the Franklin Institute, vol. 352, no. 12, pp. 5866–5881, December 2015.

    Article  MathSciNet  Google Scholar 

  8. D. Yang, X. Liu, and W. Chen, “Periodic event/self-triggered consensus for general continuous-time linear multi-agent systems under general directed graphs,” IET Control Theory & Applications, vol. 9, no. 3, pp. 428–440, February 2015.

    Article  MathSciNet  Google Scholar 

  9. D. Yang, W. Ren, X. Liu, and W. Chen, “Decentralized event-triggered consensus for linear multi-agent systems under general directed graphs,” Automatica, vol. 69, pp. 242–249, July 2016.

    Article  MathSciNet  Google Scholar 

  10. X. Liu, C. Du, P. Lu, and D. Yang, “Distributed event-triggered feedback consensus control with state-dependent threshold for general linear multi-agent systems,” International Journal of Robust and Nonlinear Control, vol. 27, no. 15, pp. 2589–2609, November 2016.

    Article  MathSciNet  Google Scholar 

  11. H. Zhang, G. Feng, H. Yan, and Q. Chen, “Observer-based output feedback event-triggered control for consensus of multi-agent systems,” IEEE Transactions on Industrial Electronics, vol. 61, no. 9, pp. 4885–4894, September 2014.

    Article  Google Scholar 

  12. J. Zhang and G. Feng, “Event-driven observer-based output feedback control for linear systems,” Automatica, vol. 50, no. 7, pp. 1852–1859, July 2014.

    Article  MathSciNet  Google Scholar 

  13. Y. Liu and X. Hou, “Event-triggered consensus control of disturbed multi-agent systems using output feedback,” ISA Transactions, vol. 91, pp. 166–173, August 2019.

    Article  Google Scholar 

  14. D. Easley and J. Kleinberg, “Networks, crowds, and markets: Reasoning about a highly connected world,” Journal of the Royal Statistical Society: Series A (Statistics in Society), vol. 175, no. 4, pp. 1073–1073, October 2012.

    MATH  Google Scholar 

  15. C. Parisien, C. H. Anderson, and C. Eliasmith, “Solving the problem of negative synaptic weights in cortical models,” Neural Computation, vol. 20, no. 6, pp. 1473–1494, June 2008.

    Article  MathSciNet  Google Scholar 

  16. J. Hu and W. X. Zheng, “Emergent collective behaviors on coopetition networks,” Physics Letters A, vol. 378, no. 26–27, pp. 1787–1796, May 2014.

    Article  MathSciNet  Google Scholar 

  17. C. Altafini, “Consensus problems on networks with antagonistic interactions,” IEEE Transactions on Automatic Control, vol. 58, no. 4, pp. 935–946, April 2013.

    Article  MathSciNet  Google Scholar 

  18. L. Zhao, Y. Jia, and J. Yu, “Adaptive finite-time bipartite consensus for second-order multi-agent systems with antagonistic interactions,” Systems & Control Letters, vol. 102, pp. 22–31, April 2017.

    Article  MathSciNet  Google Scholar 

  19. G. Wen, W. He, X. Yu, and W. Yu, “Bipartite tracking consensus of linear multi-agent systems with a dynamic leader,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 9, pp. 1204–1208, September 2018.

    Article  Google Scholar 

  20. J. Hu, Y. Wu, T. Li, and B. Ghosh, “Consensus control of general linear multi-agent systems with antagonistic interactions and communication noises,” IEEE Transactions on Automatic Control, vol. 64, no. 5, pp. 2122–2127, May 2019.

    Article  MathSciNet  Google Scholar 

  21. H. Zhang and J. Chen, “Bipartite consensus of multi-agent systems over signed graphs: State feedback and output feedback control approaches,” International Journal of Robust and Nonlinear Control, vol. 27, no. 1, pp. 3–14, January 2016.

    Article  MathSciNet  Google Scholar 

  22. J. Li, X. Chen, F. Hao, and J. Xie, “Event-triggered bipartite consensus for multi-agent systems with antagonistic interactions,” International Journal of Control, Automation and Systems, vol. 17, no. 8, pp. 2046–2058, July 2019.

    Article  Google Scholar 

  23. J. Ren, Q. Song, and G. Lu, “Event-triggered bipartite leader-following consensus of second-order nonlinear multi-agent systems under signed digraph,” Journal of the Franklin Institute, vol. 356, no. 12, pp. 6591–6609, August 2019.

    Article  MathSciNet  Google Scholar 

  24. Y. Cai, H. Zhang, J. Zhang, and Q. He, “Distributed bipartite leader-following consensus of linear multiagent systems with input time delay based on event-triggered transmission mechanism,” ISA Transactions, doi:https://doi.org/10.1016/j.isatra.2019.11.022, November 2019.

  25. C. Godsil and G. Royle, Algebraic Graph Theory, Springer, 2004.

  26. Y. Zhang and Y. Tian, “Consentability and protocol design of multi-agent systems with stochastic switching topology,” Automatica, vol. 45, no. 5, pp. 1195–1201, May 2009.

    Article  MathSciNet  Google Scholar 

  27. W. Ren and R. W. Beard, “Distributed consensus in multi-vehicle cooperative control: Theory and applications,” IEEE Control Systems, vol. 30, no. 3, pp. 85–86, June 2010.

    Article  Google Scholar 

  28. P. Lancaster and L. Rodman, Algebraic Riccati Equations, Springer, 2005.

  29. D. S. Bernstein, Matrix Mathematics: Theory, Facts, and Formulas, Princeton University Press, 2009.

  30. H. Zhang, F. L. Lewis, and A. Das, “Optimal design for synchronization of cooperative systems: State feedback, observer and output feedback,” IEEE Transactions on Automatic Control, vol. 56, no. 8, pp. 1948–1952, August 2011.

    Article  MathSciNet  Google Scholar 

  31. Z. Yang, X. Mao, and C. Yuan, “Comparison theorem of one-dimensional stochastic hybrid delay systems,” Systems & Control Letters, vol. 57, no. 1, pp. 56–63, January 2008.

    Article  MathSciNet  Google Scholar 

  32. P. Yu, C. Fischione, and D. V. Dimarogonas, “Distributed event-triggered communication and control of linear multi-agent systems under tactile communication,” IEEE Transactions on Automatic Control, vol. 63, no. 11, pp. 3979–3985, February 2018.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xia Chen.

Additional information

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

Recommended by Associate Editor Juhoon Back under the direction of Editor Jessie (Ju H.) Park. This work was supported by National Nature Science Foundation of China under Grants 61703225 and 61573036, Shandong Provincial Natural Science Foundation under Grant ZR2017BF033, and A Project of Shandong Province Higher Educational Science and Technology Program under Grant J17KA060.

Jianpeng Zang received his B.S. degree in automation from Shandong University of Technology, Zibo, China, in 2018. He is currently an M.S. student in the School of Information and Control Engineering at Qingdao University of Technology. His research interests include event-triggered control and multi-agent systems.

Xia Chen received her B.S. degree from Shandong University and a Ph.D. degree in control science and engineering from Beihang University, in 2008 and 2014, respectively. She is currently an associate professor at Qingdao University of Technology. Her research interests include event-triggered control and multi-agent systems.

Fei Hao received his M.S. degree in mathematics from Inner Mongolia University and a Ph.D. degree in dynamics and control from Peking University, in 1999 and 2002, respectively. From 2002 to 2004, he was a post-doctoral researcher in Center for Systems and Control, Peking University. Since 2004, he has been with the Seventh Research Division, Beihang University. He is currently a professor of Beihang University. His research interests include robust and optimal control, event-triggered control, hybrid systems and networked control systems.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zang, J., Chen, X. & Hao, F. Observer-based Event-triggered Bipartite Consensus of Linear Multi-agent Systems. Int. J. Control Autom. Syst. 19, 1291–1301 (2021). https://doi.org/10.1007/s12555-019-1072-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-019-1072-7

Keywords

Navigation