Skip to main content
Log in

Adaptive Event-Triggering Consensus for Multi-Agent Systems with Linear Time-Varying Dynamics

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

In this paper, the authors study the fully distributed event-triggering consensus problem for multi-agent systems with linear time-varying dynamics, where each agent is described by a linear time-varying system. An adaptive event-triggering protocol is proposed for time-varying multi-agent systems under directed graph. Based on the Gramian matrix of linear time-varying systems, the design of control gain is done and sufficient conditions ensuring the consensus of linear time-varying multi-agent systems are obtained. It is shown that the coupling strength is closely related to the triggering condition. When it comes to undirected graph, it is shown that the coupling strength is independent on the triggering condition and thus the design procedure is of more freedom than the directed case. In addition, it is also proved that Zeno behaviours can be excluded in the proposed protocols. A numerical example is presented to demonstrate the effectiveness of the theoretical results.

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. Cheng B and Li Z, Fully distributed event-triggered protocols for linear multi-agent networks, IEEE Trans. Automatic Control, 2019, 64(4): 1655–1662.

    Article  MathSciNet  MATH  Google Scholar 

  2. Ning B, Han Q L, and Zuo Z, Practical fixed-time consensus for integrator-type multi-agent systems: A time base generator approach, Automatica, 2019, 105: 406–414.

    Article  MathSciNet  MATH  Google Scholar 

  3. Rezaee H and Abdollahi F, Adaptive consensus control of nonlinear multiagent systems with unknown control directions under stochastic topologies, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(8): 3538–3547.

    Article  MathSciNet  Google Scholar 

  4. Wang D, Wang D, and Wang W, Necessary and sufficient condition for containment control of multi-agent systems with time delay, Automatica, 2019, 103: 418–423.

    Article  MathSciNet  MATH  Google Scholar 

  5. Wang P, Wen G, Yu X, et al., Consensus disturbance rejection for linear multiagent systems with directed switching communication topologies, IEEE Transactions on Control of Network Systems, 2020, 7(1): 254–265.

    Article  MathSciNet  MATH  Google Scholar 

  6. Xue M, Tang Y, Ren W, et al., Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations, Automatica, 2020, 116: 108917.

    Article  MathSciNet  MATH  Google Scholar 

  7. Li X, Soh Y C, and Xie L, Output-feedback protocols without controller interaction for consensus of homogeneous multi-agent systems: A unified robust control view, Automatica, 2017, 81: 37–45.

    Article  MathSciNet  MATH  Google Scholar 

  8. Tuna S, Conditions for synchronizability in arrays of coupled linear systems, IEEE Transactions on Automatic Control, 2009, 54(10): 2416–2420.

    Article  MathSciNet  MATH  Google Scholar 

  9. DeLellis P, diBernardo M, and Garofalo F, Novel decentralized adaptive strategies for the synchronization of complex networks, Automatica, 2009, 45(5): 1312–1318.

    Article  MathSciNet  Google Scholar 

  10. Jiang J and Jiang Y, Leader-following consensus of linear time-varying multi-agent systems under fixed and switching topologies, Automatica, 2020, 113: 108804.

    Article  MathSciNet  MATH  Google Scholar 

  11. Li Z, Ren W, Liu X, et al., Consensus of multi-agent systems with general linear and Lipschitz nonlinear dynamics using distributed adaptive protocols, IEEE Transactions on Automatic Control, 2013, 58(7): 1786–1791.

    Article  MathSciNet  MATH  Google Scholar 

  12. Li Z, Wen G, Duan Z, et al., Designing fully distributed consensus protocols for linear multi-agent systems with directed graphs, IEEE Transactions on Automatic Control, 2015, 60(4): 1152–1157.

    Article  MathSciNet  MATH  Google Scholar 

  13. Dimarogonas D V, Frazzoli E, and Johansson K H, Distributed event-triggered control for multi-agent systems, IEEE Transactions on Automatic Control, 2012, 57(5): 1291–1297.

    Article  MathSciNet  MATH  Google Scholar 

  14. Ding L, Han Q L, Ge X, et al., An overview of recent advances in event-triggered consensus of multiagent systems, IEEE Transactions on Cybernetics, 2018, 48(4): 1110–1123.

    Article  Google Scholar 

  15. Mazo M and Tabuada P, Decentralized event-triggered control over wireless sensor/actuator networks, IEEE Transactions on Automatic Control, 2011, 56(10): 2456–2461.

    Article  MathSciNet  MATH  Google Scholar 

  16. Seyboth G S, Dimarogonas D V, and Johansson K H, Event-based broadcasting for multi-agent average consensus, Automatica, 2013, 49: 245–252.

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang D, Wang Z, Wang Z, et al., Design of hybrid event-triggered containment controllers for homogeneous and heterogeneous multi-agent systems, IEEE Transactions on Cybernetics, 2020, 51(10): 4885–4896.

    Article  Google Scholar 

  18. Zhou W, Shi P, Xiang Z, et al., Consensus tracking control of switched stochastic nonlinear multiagent systems via event-triggered strategy, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(3): 1036–1045.

    Article  MathSciNet  Google Scholar 

  19. Li X, Sun Z, Tang Y, et al., Adaptive event-triggered consensus of multiagent systems on directed graphs, IEEE Transactions on Automatic Control, 2021, 66(4): 1670–1685.

    Article  MathSciNet  MATH  Google Scholar 

  20. Li X, Tang Y, and Karimi H R, Consensus of multi-agent systems via fully distributed event-triggered control, Automatica, 2020, 116: 108898.

    Article  MathSciNet  MATH  Google Scholar 

  21. Yang R, Zhang H, Feng G, et al., Robust cooperative output regulation of multi-agent systems via adaptive event-triggered control, Automatica, 2019, 102: 129–136.

    Article  MathSciNet  MATH  Google Scholar 

  22. Ye D, Chen M, and Yang H, Distributed adaptive event-triggered fault-tolerant consensus of multiagent systems with general linear dynamics, IEEE Transactions on Cybernetics, 2019, 49(3): 757–767.

    Article  Google Scholar 

  23. Ma L, Wang Z, and Lam H K, Event-triggered mean-square consensus control for time-varying stochastic multi-agent system with sensor saturations, IEEE Transactions on Automatic Control, 2017, 62(7): 3524–3531.

    Article  MathSciNet  MATH  Google Scholar 

  24. Tuna S E, Sufficient conditions on observability grammian for synchronization in arrays of coupled linear time-varying systems, IEEE Transactions on Automatic Control, 2010, 55(11): 2586–2590.

    Article  MathSciNet  MATH  Google Scholar 

  25. Wu X, Tang Y, Cao J, et al., Stability analysis for continuous-time switched systems with stochastic switching signals, IEEE Transactions on Automatic Control, 2018, 63(9): 3083–3090.

    Article  MathSciNet  MATH  Google Scholar 

  26. Zhang X, Liu L, and Feng G, Leader-follower consensus of time-varying nonlinear multi-agent systems, Automatica, 2015, 52: 8–14.

    Article  MathSciNet  MATH  Google Scholar 

  27. Aeyels D and Peuteman J, Uniform asymptotic stability of linear time-varying systems, Open Problems in Mathematical Systems and Control Theory, Comm. Control Engrg. Ser., Springer, London, 1999.

    MATH  Google Scholar 

  28. Zhou B, On asymptotic stability of linear time-varying systems, Automatica, 2016, 68: 266–276.

    Article  MathSciNet  MATH  Google Scholar 

  29. Karafyllis I and Tsinias J, Non-uniform in time stabilization for linear systems and tracking control for non-holonomic systems in chained form, International Journal of Control, 2003, 76: 1536–1546.

    Article  MathSciNet  MATH  Google Scholar 

  30. Zhang W, Han Q L, Tang Y, et al., Sampled-data control for a class of linear time-varying systems, Automatica, 2019, 76: 126–134.

    Article  MathSciNet  MATH  Google Scholar 

  31. Zhou B and Egorov A V, Razumikhin and Krasovskii stability theorems for time-varying time-delay systems, Automatica, 2016, 71: 281–291.

    Article  MathSciNet  MATH  Google Scholar 

  32. Zhu W, Zhou Q, and Wang D, Consensus of linear multi-agent systems via adaptive event-based protocols, Neurocomputing, 2018, 318(27): 175–181.

    Article  Google Scholar 

  33. Ren W and Beard R, Consensus seeking in multi-agent systems under dynamically chaning intercation topologies, IEEE Transactions on Automatic Control, 2005, 50(5): 655–661.

    Article  MathSciNet  MATH  Google Scholar 

  34. Khalil H K, Nonlinear Systems, 3rd Edition, Prentice-Hall, Upper Saddle River, New Jersey, 2002.

    MATH  Google Scholar 

  35. Rugh W J, Linear Systems Theory, Prentice-Hall, Upper Saddle River, New Jersey, 1996.

    MATH  Google Scholar 

  36. Fan Y, Feng G, Wang Y, et al., Distributed event-triggered control of multi-agent systems with combinational measurements, Automatica, 2013, 49: 671–675.

    Article  MathSciNet  MATH  Google Scholar 

  37. Zhang W, Tang Y, Liu Y, et al., Event-triggering containment control for a class of multi-agent networks with fixed and switching topologies, IEEE Transactions on Circuits and Systems-I: Regular Papers, 2017, 64(3): 619–629.

    Article  Google Scholar 

  38. Smith R S and Hadaegh F Y, Control of deep-space formation-flying spacecraft, relative sensing and switched information, Journal of Guidance, Control and Dynamics, 2005, 28(1): 106–114.

    Article  Google Scholar 

  39. Tang Y, Wu X, Shi P, et al., Input-to-state stability for nonlinear systems with stochastic impulses, Automatica, 2020, 113: 108766.

    Article  MathSciNet  MATH  Google Scholar 

  40. Ding D, Han Q L, Ge X, et al., Secure state estimation and control of cyberphysical systems: A survey, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2021, 51(1): 176–190.

    Article  Google Scholar 

  41. Mao J, Sun Y, Yi X, et al., Recursive filtering of networked nonlinear systems: A survey, International Journal of Systems Science, 2021, 52(6): 1110–1128.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Wenbing Zhang or Jiatong Bao.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant Nos. 61873230 and 61673176.

This paper was recommended for publication by Editor FU Minyue.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, W., Abuzar Hussein Mohammed, A., Bao, J. et al. Adaptive Event-Triggering Consensus for Multi-Agent Systems with Linear Time-Varying Dynamics. J Syst Sci Complex 35, 1700–1718 (2022). https://doi.org/10.1007/s11424-022-1065-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-022-1065-0

Keywords

Navigation