Skip to main content
SpringerLink
Log in

Cooperative control for heterogeneous multi-agent systems: progress, applications, and challenges

  • Perspective
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Conclusion

This study provides an overview of the advancements, applications, and challenges in the field of heterogeneous MASs with a focus on cooperative control. It summarizes the existing secure control methods under cyber-attacks and safe control approaches in physical threats. Additionally, we discuss the potential applications of heterogeneous MASs and future research directions to address remaining challenges. We hope that this work can inspire researchers studying cooperative control of heterogeneous MASs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shi P, Yan B. A survey on intelligent control for multiagent systems. IEEE Trans Syst Man Cybern Syst, 2021, 51: 161–175

    Article  Google Scholar 

  2. Wu Y, Zhang H, Wang Z, et al. Output consensus of heterogeneous linear multiagent systems with directed graphs via adaptive dynamic event-triggered mechanism. IEEE Trans Cybern, 2023, 53: 4606–4618

    Article  Google Scholar 

  3. Yan B, Shi P, Lim C P, et al. Security and safety-critical learning-based collaborative control for multiagent systems. IEEE Trans Neural Netw Learn Syst, 2024. doi: https://doi.org/10.1109/TNNLS.2024.3350679

  4. Yang Y, Li Y F, Yue D. Event-trigger-based consensus secure control of linear multi-agent systems under DoS attacks over multiple transmission channels. Sci China Inf Sci, 2020, 63: 150208

    Article  MathSciNet  Google Scholar 

  5. Ni J, Zhao S, Cao J, et al. Predefined-time consensus tracking of high-order multiagent system with deception attack. Inf Sci, 2023, 649: 119671

    Article  Google Scholar 

  6. Deng C, Gao W, Wen C, et al. Data-driven practical cooperative output regulation under actuator faults and DoS attacks. IEEE Trans Cybern, 2023, 53: 7417–7428

    Article  Google Scholar 

  7. Chen Y, Singletary A, Ames A D. Guaranteed obstacle avoidance for multi-robot operations with limited actuation: a control barrier function approach. IEEE Control Syst Lett, 2021, 5: 127–132

    Article  MathSciNet  Google Scholar 

  8. Zhang M, Pan C. Hierarchical optimization scheduling algorithm for logistics transport vehicles based on multiagent reinforcement learning. IEEE Trans Intell Transp Syst, 2023. doi: https://doi.org/10.1109/TITS.2023.3337334

  9. Ma N, Li D Y, He W, et al. Future vehicles: interactive wheeled robots. Sci China Inf Sci, 2021, 64: 156101

    Article  Google Scholar 

  10. Zhao G, Cui H, Hua C. Hybrid event-triggered bipartite consensus control of multiagent systems and application to satellite formation. IEEE Trans Automat Sci Eng, 2023, 20: 1760–1771

    Article  Google Scholar 

Download references

Acknowledgements

This work was partially supported by Australian Research Council (Grant No. DP240101140).

Author information

Authors and Affiliations

  1. School of Electrical and Mechanical Engineering, Faculty of Science, Engineering and Technology, The University of Adelaide, Adelaide, SA, 5005, Australia

    Bing Yan & Peng Shi

  2. School of Engineering, College of Science and Engineering, University of Leicester, Leicester, LE1 7RH, UK

    Jonathon Chambers

Authors
  1. Bing Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peng Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jonathon Chambers
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Peng Shi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, B., Shi, P. & Chambers, J. Cooperative control for heterogeneous multi-agent systems: progress, applications, and challenges. Sci. China Inf. Sci. 67, 156201 (2024). https://doi.org/10.1007/s11432-024-4001-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-024-4001-6

Search

Navigation