Skip to main content
Log in

Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

In this paper, a group formation tracking controller for nonlinear multi-agent systems under switching topologies is proposed in which the group formation may have multiple time-varying subformations. Each subgroup has several active leaders with unknown but bounded control inputs and multiple followers whose dynamics are considered to consist of two parts, namely, the known linear term and the unknown nonlinear term. A distributed control protocol is then designed for the followers to realize time-varying group formation tracking, which is based on an extended state observer that estimates the state and nonlinear term of each follower. To guarantee the stability of the multi-agent system with the designed control protocol under switching topologies, a threshold for the dwell time, namely, the minimum time interval for each topology before switching, is derived. Finally, a numerical example with a group of unmanned aerial vehicles (UAVs), including three subgroups, is presented to verify the effectiveness of the proposed control protocol.

Graphical abstract

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.

Algorithm 1
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability and access

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Cui B, Xia Y, Liu K, Zhang J, Wang Y, Shen G (2022) Truly distributed finite-time attitude formation-containment control for networked uncertain rigid spacecraft. IEEE Trans Cybern 52(7):5882–5896

    Article  PubMed  Google Scholar 

  2. Zhu C, Huang B, Xu Y, Lu Y, Su Y (2022) Completely distributed affine formation maneuvering of networked marine surface vehicles with cooperation localization. IEEE Trans Veh Technol 71(12):12523–12529

    Article  Google Scholar 

  3. Wu Y, Gou J, Hu X, Huang Y (2020) A new consensus theory-based method for formation control and obstacle avoidance of uavs. Aerosp Sci Technol 107:106332

    Article  Google Scholar 

  4. Zou Y, Zhang H, He W (2022) Adaptive coordinated formation control of heterogeneous vertical takeoff and landing uavs subject to parametric uncertainties. IEEE Trans Cybern 52(5):3184–3195

    Article  PubMed  Google Scholar 

  5. Garg V, Shukla A, Tiwari R (2022) Aerpso—an adaptive exploration robotic pso based cooperative algorithm for multiple target searching. Expert Syst Appl 209:118245

    Article  Google Scholar 

  6. Hao C, Xiangke W, Lincheng S, Yirui C (2021) Formation flight of fixed-wing uav swarms: a group-based hierarchical approach. Chin J Aeronaut 34(2):504–515

    Article  Google Scholar 

  7. Yang M, Pei X, Zhang M, Zhang Y (2023) A dual-ring control structure for enhancing the fault-tolerance ability under communication interruption in mmc. IEEE Trans Industr Electron 70(10):10101–10113

    Article  Google Scholar 

  8. Shi H, Wang M, Wang C (2023) Leader-follower formation learning control of discrete-time nonlinear multiagent systems. IEEE Trans Cybern 53(2):1184–1194

    Article  PubMed  Google Scholar 

  9. Wang Y, Shan M, Yue Y, Wang D (2020) Vision-based flexible leader-follower formation tracking of multiple nonholonomic mobile robots in unknown obstacle environments. IEEE Trans Control Syst Technol 28(3):1025–1033

    Article  Google Scholar 

  10. Li S, Fang X (2021) A modified adaptive formation of uav swarm by pigeon flock behavior within local visual field. Aerosp Sci Technol 114:106736

    Article  Google Scholar 

  11. Zhang J, Yan J, Zhang P (2020) Multi-uav formation control based on a novel back-stepping approach. IEEE Trans Veh Technol 69(3):2437–2448

    Article  ADS  Google Scholar 

  12. Wang Y, Yue Y, Shan M, He L, Wang D (2021) Formation reconstruction and trajectory replanning for multi-uav patrol. IEEE/ASME Trans Mechatron 26(2):719–729

    Article  Google Scholar 

  13. Wu Z, Liu X, Sun J, Wang X (2020) Multi-group formation tracking control via impulsive strategy. Neurocomputing 411:487–497

    Article  Google Scholar 

  14. Hu J, Bhowmick P, Lanzon A (2020) Distributed adaptive time-varying group formation tracking for multiagent systems with multiple leaders on directed graphs. IEEE Trans Control Netw Syst 7(1):140–150

    Article  MathSciNet  Google Scholar 

  15. Xia L, Li Q, Song R, Zhang Z (2022) Leader-follower time-varying output formation control of heterogeneous systems under cyber attack with active leader. Inf Sci 585:24–40

    Article  Google Scholar 

  16. Li P, Jabbari F, Sun X-M (2023) Leader-follower consensus of linear multi-agent systems with magnitude and rate saturation and an active leader. IEEE Trans Autom Control 68(9):5584–5591

    Article  Google Scholar 

  17. Gao Z, Guo G (2020) Fixed-time sliding mode formation control of auvs based on a disturbance observer. IEEE/CAA Journal of Automatica Sinica 7(2):539–545

    Article  MathSciNet  Google Scholar 

  18. Huang B, Song S, Zhu C, Li J, Zhou B (2021) Finite-time distributed formation control for multiple unmanned surface vehicles with input saturation. Ocean Eng 233:109158

    Article  Google Scholar 

  19. Liu J, Fang J-a, Li Z, He G (2020) Time-varying formation tracking for second-order multi-agent systems subjected to switching topology and input saturation. Int J Control Autom Syst 18(4):991–1001

    Article  Google Scholar 

  20. Wang G (2022) Consensus control in heterogeneous nonlinear multiagent systems with position feedback and switching topologies. IEEE Trans Netw Sci Eng 9(5):3546–3557

    Article  MathSciNet  Google Scholar 

  21. Basheer A, Rehan M, Tufail M, Razaq MA (2021) A novel approach for adaptive \({H_\infty }\) leader-following consensus of higher-order locally lipschitz multi-agent systems. Appl Math Comput 395:125749

    MathSciNet  Google Scholar 

  22. Wang H, Ren W, Yu W, Zhang D (2021) Fully distributed consensus control for a class of disturbed second-order multi-agent systems with directed networks. Automatica 132:109816

    Article  MathSciNet  Google Scholar 

  23. Cai Y, Zhang H, Wang Y, Zhang J, He Q (2021) Fixed-time time-varying formation tracking for nonlinear multi-agent systems under event-triggered mechanism. Inf Sci 564:45–70

  24. Xu Z, Qi G, Liu Q, Yao J (2022) Eso-based adaptive full state constraint control of uncertain systems and its application to hydraulic servo systems. Mech Syst Signal Process 167:108560

    Article  Google Scholar 

  25. Ni J, Shi P, Zhao Y, Pan Q, Wang S (2022) Fixed-time event-triggered output consensus tracking of high-order multiagent systems under directed interaction graphs. IEEE Trans Cybern 52(7):6391–6405

    Article  PubMed  Google Scholar 

  26. Song J, Wang Y-K, Niu Y, Lam H-K, He S, Liu H (2022) Periodic event-triggered terminal sliding mode speed control for networked pmsm system: a ga-optimized extended state observer approach. IEEE/ASME Trans Mechatron 27(5):4153–4164

    Article  Google Scholar 

  27. Yu X, Zhou X, Guo K, Jia J, Guo L, Zhang Y (2022) Safety flight control for a quadrotor uav using differential flatness and dual-loop observers. IEEE Trans Industr Electron 69(12):13326–13336

    Article  Google Scholar 

  28. Liao R, Han L, Dong X, Li Q, Ren Z (2020) Finite-time formation-containment tracking for second-order multi-agent systems with a virtual leader of fully unknown input. Neurocomputing 415:234–246

    Article  Google Scholar 

Download references

Acknowledgements

Research supported by the National Natural Science Foundation of China under Grant 11725211.

Author information

Authors and Affiliations

Authors

Contributions

Xin Cai and Hai Zhu: Writing-original draft. Xiaozhou Zhu: Software. Wen Yao: Supervision

Corresponding author

Correspondence to Wen Yao.

Ethics declarations

Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical and informed consent for data used

No.

Additional information

Publisher's Note

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

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

Cai, X., Zhu, H., Zhu, X. et al. Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies. Appl Intell 54, 1909–1921 (2024). https://doi.org/10.1007/s10489-024-05285-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10489-024-05285-5

Keywords

Navigation