Skip to main content
SpringerLink
Log in

Decision-making and control co-design for multi-agent systems: a hierarchical design methodology

  • Letter
  • Published:
Control Theory and Technology Aims and scope Submit manuscript

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

References

  1. Tsien, H.S. (1954). Engineering Cybernetics. New York: McGraw-Hill.

  2. Hauswirth, A., Bolognani, S., Hug, G., & Dörfler, F. (2021). Timescale separation in autonomous optimization. IEEE Transactions on Automatic Control, 66(2), 611–624.

    Article  MathSciNet  Google Scholar 

  3. Deng, Z., & Hong, Y. (2016). Multi-agent optimization design for autonomous Lagrangian systems. Unmanned Systems, 4(1), 5–13.

  4. Zhao, Y., Liu, Y., Wen, G., & Chen, G. (2017). Distributed optimization for linear multiagent systems: Edge-and node-based adaptive designs. IEEE Transactions on Automatic Control, 62(7), 3602–3609.

    Article  MathSciNet  Google Scholar 

  5. Xie, Y., & Lin, Z. (2017). Global optimal consensus for multi-agent systems with bounded controls. Systems & Control Letters, 102, 104–111.

    Article  MathSciNet  Google Scholar 

  6. Zhang, X., Papachristodoulou, A., & Li, N. (2018). Distributed control for reaching optimal steady state in network systems: An optimization approach. IEEE Transactions on Automatic Control, 63(3), 864–871.

    Article  MathSciNet  Google Scholar 

  7. Zhang, Y., Deng, Z., & Hong, Y. (2017). Distributed optimal coordination for multiple heterogeneous Euler–Lagrangian systems. Automatica, 79, 207–213.

    Article  MathSciNet  Google Scholar 

  8. Zou, Y., Meng, Z., & Hong, Y. (2020). Adaptive distributed optimization algorithms for Euler–Lagrange systems. Automatica, 119, 109060.

    Article  MathSciNet  Google Scholar 

  9. Tang, Y., Deng, Z., & Hong, Y. (2019). Optimal output consensus of high-order multiagent systems with embedded technique. IEEE Transactions on Cybernetics, 49(5), 1768–1779.

    Article  Google Scholar 

  10. Tang, Y., & Wang, X. (2021). Optimal output consensus for nonlinear multiagent systems with both static and dynamic uncertainties. IEEE Transactions on Automatic Control, 66(4), 1733–1740.

    Article  MathSciNet  Google Scholar 

  11. Wang, X., Wang, G., & Li, S. (2020). Distributed finite-time optimization for integrator chain multiagent systems with disturbances. IEEE Transactions on Automatic Control, 65(12), 5296–5311.

    Article  MathSciNet  Google Scholar 

  12. Tang, Y. (2018). Distributed optimization for a class of high-order nonlinear multiagent systems with unknown dynamics. International Journal of Robust Nonlinear Control, 28(17), 5545–5556.

    Article  MathSciNet  Google Scholar 

  13. Li, Z., Wu, Z., Li, Z., & Ding, Z. (2020). Distributed optimal coordination for heterogeneous linear multiagent systems with event-triggered mechanisms. IEEE Transactions on Automatic Control, 65(4), 1763–1770.

    Article  MathSciNet  Google Scholar 

  14. Liu, T., Qin, Z., Hong, Y., & Jiang, Z. (2022). Distributed optimization of nonlinear multiagent systems: a small-gain approach. IEEE Transactions on Automatic Control, 67(2), 676–691.

    Article  MathSciNet  Google Scholar 

  15. Tang, Y., & Zhu, K. (2022). Optimal consensus for uncertain high-order multi-agent systems by output feedback. International Journal of Robust and Nonlinear Control, 32(4), 2084–2099.

    Article  MathSciNet  Google Scholar 

  16. Tang, Y. (2020). Distributed optimal steady-state regulation for high-order multiagent systems with external disturbances. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11), 4828–4835.

    Article  Google Scholar 

  17. Wang, X., Liu, W., Wu, Q., & Li, S. (2021). A modular optimal formation control scheme of multiagent systems with application to multiple mobile robots. IEEE Transactions on Industrial Electronics, 69(9), 9331–9341.

    Article  Google Scholar 

  18. Gkesoulis, A., Psillakis, H., & Lagos, A. (2022). Optimal consensus via ocpi regulation for unknown pure-feedback agents with disturbances and state-delays. IEEE Transactions on Automatic Control, 67(8), 4338–4345.

  19. Zhang, J., Liu, L., & Ji, H. (2022). Optimal output consensus of second-order uncertain nonlinear systems on weight-unbalanced directed networks. International Journal of Robust and Nonlinear Control, 32(8), 4878–4898.

  20. Tang, Y., & Yi, P. (2022). Nash equilibrium seeking for high-order multi-agent systems with unknown dynamics. IEEE Transactions on Control of Network Systems.arXiv:2101.02883.

Download references

Funding

This work was supported by National Natural Science Foundation of China under Grant 61973043.

Author information

Author notes

    Authors and Affiliations

    1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China

      Yutao Tang

    2. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

      Huashu Qin

    Authors
    1. Yutao Tang
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Huashu Qin
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to Yutao Tang.

    Rights and permissions

    Reprints and permissions

    About this article

    Check for updates. Verify currency and authenticity via CrossMark

    Cite this article

    Tang, Y., Qin, H. Decision-making and control co-design for multi-agent systems: a hierarchical design methodology. Control Theory Technol. 20, 439–441 (2022). https://doi.org/10.1007/s11768-022-00111-0

    Download citation

    • Received:

    • Accepted:

    • Published:

    • Issue Date:

    • DOI: https://doi.org/10.1007/s11768-022-00111-0

    Search

    Navigation