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Distributed optimal consensus of multiagent systems with Markovian switching topologies: synchronous and asynchronous communications

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Abstract

Considering limited system configurations and communication network bandwidths, this paper proposes two fully distributed event-triggered control schemes, namely synchronous and asynchronous communication, to solve the optimal consensus problem of linear multiagent systems (MASs) with Markovian switching topologies. The concept here is to design a novel composite dynamic event-triggered mechanism for each agent (using the information of all neighbors and one of them), based on which two fully distributed event-triggered protocols are designed to reach consensus and minimize a global convex team performance function. The effectiveness of the proposed control schemes is analyzed theoretically, that is, the optimal consensus problem can be realized, and the MAS does not exhibit Zeno behavior. Compared with existing optimal consensus results, the outstanding advantage of the proposed schemes is that a fully distributed asynchronous event-triggered communication scheme is designed, which fills the gap of optimal consensus results in this respect.

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References

  1. Ning B, Han Q L, Ding L. Distributed finite-time secondary frequency and voltage control for islanded microgrids with communication delays and switching topologies. IEEE Trans Cybern, 2021, 51: 3988–3999

    Article  Google Scholar 

  2. Li L, Shi P, Ahn C K. Distributed iterative FIR consensus filter for multiagent systems over sensor networks. IEEE Trans Cybern, 2022, 52: 4647–4660

    Article  Google Scholar 

  3. Deng C, Jin X Z, Wu Z G, et al. Data-driven-based cooperative resilient learning method for nonlinear MASs under DoS attacks. IEEE Trans Neural Netw Learn Syst, 2023. doi: https://doi.org/10.1109/TNNLS.2023.3252080

  4. Wen G X, Chen C L P, Dou H, et al. Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology. Sci China Inf Sci, 2019, 62: 192205

    Article  MathSciNet  Google Scholar 

  5. Zhang J, Zhang H, Sun S, et al. Adaptive time-varying formation tracking control for multiagent systems with nonzero leader input by intermittent communications. IEEE Trans Cybern, 2023, 53: 5706–5715

    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. Zhang Z, Li H, Shi Y, et al. Cooperative optimal control for Lipschitz nonlinear systems over generally directed topologies. Automatica, 2020, 122: 109279

    Article  MathSciNet  MATH  Google Scholar 

  8. Ming Z, Zhang H, Zhang J, et al. A novel actor-critic-identifier architecture for nonlinear multiagent systems with gradient descent method. Automatica, 2023, 155: 111128

    Article  MathSciNet  MATH  Google Scholar 

  9. Gao W, Jiang Z P, Lewis F L, et al. Leader-to-formation stability of multiagent systems: an adaptive optimal control approach. IEEE Trans Automat Contr, 2018, 63: 3581–3587

    Article  MathSciNet  MATH  Google Scholar 

  10. Zhang Z, Yan W, Li H. Distributed optimal control for linear multiagent systems on general digraphs. IEEE Trans Automat Contr, 2021, 66: 322–328

    Article  MathSciNet  MATH  Google Scholar 

  11. Zhao Y, Liu Y, Wen G, et al. Distributed optimization for linear multiagent systems: edge- and node-based adaptive designs. IEEE Trans Automat Contr, 2017, 62: 3602–3609

    Article  MathSciNet  MATH  Google Scholar 

  12. An L, Yang G H. Distributed optimal coordination for heterogeneous linear multiagent systems. IEEE Trans Automat Contr, 2022, 67: 6850–6857

    Article  MathSciNet  MATH  Google Scholar 

  13. Li Z, Ding Z, Sun J, et al. Distributed adaptive convex optimization on directed graphs via continuous-time algorithms. IEEE Trans Automat Contr, 2018, 63: 1434–1441

    Article  MathSciNet  MATH  Google Scholar 

  14. Li Z, Wu Z, Li Z, et al. Distributed optimal coordination for heterogeneous linear multiagent systems with event-triggered mechanisms. IEEE Trans Automat Contr, 2020, 65: 1763–1770

    Article  MathSciNet  MATH  Google Scholar 

  15. Wu Z, Li Z, Ding Z, et al. Distributed continuous-time optimization with scalable adaptive event-based mechanisms. IEEE Trans Syst Man Cybern Syst, 2020, 50: 3252–3257

    Article  Google Scholar 

  16. Ma H J, Yang G H, Chen T. Event-triggered optimal dynamic formation of heterogeneous affine nonlinear multiagent systems. IEEE Trans Automat Contr, 2021, 66: 497–512

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang D, Wang Z, Wu Z J, et al. Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph. Sci China Inf Sci, 2022, 65: 132201

    Article  MathSciNet  Google Scholar 

  18. Vamvoudakis K G. Event-triggered optimal adaptive control algorithm for continuous-time nonlinear systems. IEEE-CAA J Automatic, 2014, 1: 282–293

    Google Scholar 

  19. Girard A. Dynamic triggering mechanisms for event-triggered control. IEEE Trans Automat Contr, 2015, 60: 1992–1997

    Article  MathSciNet  MATH  Google Scholar 

  20. Liu C, Liu L, Cao J, et al. Intermittent event-triggered optimal leader-following consensus for nonlinear multi-agent systems via actor-critic algorithm. IEEE Trans Neural Netw Learn Syst, 2023, 34: 3992–4006

    Article  MathSciNet  Google Scholar 

  21. Zhang J, Zhang H, Ming Z, et al. Adaptive event-triggered time-varying output bipartite formation containment of multiagent systems under directed graphs. IEEE Trans Neural Netw Learn Syst, 2023, 34: 8909–8922

    Article  MathSciNet  Google Scholar 

  22. Zhang J, Yang D, Zhang H, et al. Dynamic event-based tracking control of boiler turbine systems with guaranteed performance. IEEE Trans Autom Sci Eng, 2023. doi: https://doi.org/10.1109/TASE.2023.3294187

  23. Zhang H, Zhang J, Cai Y, et al. Leader-following consensus for a class of nonlinear multiagent systems under event-triggered and edge-event triggered mechanisms. IEEE Trans Cybern, 2022, 52: 7643–7654

    Article  Google Scholar 

  24. Cheng B, Li Z. Coordinated tracking control with asynchronous edge-based event-triggered communications. IEEE Trans Automat Contr, 2019, 64: 4321–4328

    Article  MathSciNet  MATH  Google Scholar 

  25. Huang Y, Meng Z. Fully distributed event-triggered optimal coordinated control for multiple Euler-Lagrangian systems. IEEE Trans Cybern, 2022, 52: 9120–9131

    Article  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  27. Meng M, Liu L, Feng G. Adaptive output regulation of heterogeneous multiagent systems under Markovian switching topologies. IEEE Trans Cybern, 2018, 48: 2962–2971

    Article  Google Scholar 

  28. Cheng B, Li Z. Fully distributed event-triggered protocols for linear multiagent networks. IEEE Trans Automat Contr, 2019, 64: 1655–1662

    Article  MathSciNet  MATH  Google Scholar 

  29. Zhang J, Zhang H, Sun S. Adaptive dynamic event-triggered bipartite time-varying output formation tracking problem of heterogeneous multiagent systems. IEEE Trans Syst Man Cybern Syst, 2023. doi: https://doi.org/10.1109/TSMC.2023.3296880

  30. Li S, Nian X, Deng Z. Distributed optimization of second-order nonlinear multiagent systems with event-triggered communication. IEEE Trans Control Netw Syst, 2021, 8: 1954–1963

    Article  MathSciNet  Google Scholar 

  31. Li B, Wen G, Peng Z, et al. Fully distributed consensus tracking of stochastic nonlinear multiagent systems with Markovian switching topologies via intermittent control. IEEE Trans Syst Man Cybern Syst, 2022, 52: 3200–3209

    Article  Google Scholar 

  32. Boyd S, Vandenberghe L. Convex Optimization. Cambridge: Cambridge University Press, 2004

    Book  MATH  Google Scholar 

  33. Wang Q, Chen J, Xin B, et al. Distributed optimal consensus for Euler-Lagrange systems based on event-triggered control. IEEE Trans Syst Man Cybern Syst, 2021, 51: 4588–4598

    Article  Google Scholar 

  34. Wu Z, Li Z. Distributed robust optimization algorithms over uncertain network graphs. IEEE Trans Cybern, 2022, 52: 4451–4458

    Article  Google Scholar 

  35. Filippov F. Differential Equations with Discontinuous Righthand Side. Norwell: Kluwer, 1988

    Book  Google Scholar 

  36. Ning B, Han Q L, Zuo Z, et al. Fixed-time and prescribed-time consensus control of multiagent systems and its applications: a survey of recent trends and methodologies. IEEE Trans Ind Inf, 2023, 19: 1121–1135

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 62303096, U22B20115, 62022044), Fundamental Research Funds for Central Universities (Grant No. 232405-25), and National Key R&D Program of China (Grant No. 2022YFB4100802).

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Correspondence to Juan Zhang.

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Supporting information Appendixes A and B. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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11432_2023_3843_MOESM1_ESM.pdf

Distributed optimal consensus of multiagent systems with Markovian switching topologies: synchronous and asynchronous communications

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Zhang, J., Zhang, H., Zhou, B. et al. Distributed optimal consensus of multiagent systems with Markovian switching topologies: synchronous and asynchronous communications. Sci. China Inf. Sci. 66, 222209 (2023). https://doi.org/10.1007/s11432-023-3843-7

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  • DOI: https://doi.org/10.1007/s11432-023-3843-7

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