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Volume 9 Issue 4
Apr.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(4): 615-623
G.-P. Liu, “Coordination of networked nonlinear multi-agents using a high-order fully actuated predictive control strategy,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 615–623, Apr. 2022. doi: 10.1109/JAS.2022.105449
Citation: G.-P. Liu, “Coordination of networked nonlinear multi-agents using a high-order fully actuated predictive control strategy,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 615–623, Apr. 2022. doi: 10.1109/JAS.2022.105449
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Coordination of Networked Nonlinear Multi-Agents Using a High-Order Fully Actuated Predictive Control Strategy

doi: 10.1109/JAS.2022.105449

  • Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Funds:  This work was supported in part by the National Natural Science Foundation of China (62173255, 62188101)
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    Abstract
  • This paper is concerned with the coordinative control problem of networked nonlinear multi-agents (NNM) with communication delays. A high-order fully actuated (HOFA) model is introduced to describe the nonlinear multi-agents. Based on this model, a HOFA predictive coordination method is proposed to compensate for the communication delays actively and achieve simultaneous stability and consensus. This method largely simplifies the design of networked nonlinear multi-agents and makes the control performance be same for networked nonlinear multi-agents with and without communication delays. The analysis on the closed-loop systems derives the simultaneous stability and consensus criteria of networked nonlinear multi-agents using the HOFA predictive coordination method. With the presented way of designing HOFA predictive coordination controllers, a simulated example demonstrates the advantages of the proposed method.

     

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    • References(24)
  • [1]
    F. Chen and W. Ren, On the Control of Multi-Agent Systems: A Survey, Publisher: now, 2019.
    [2]
    P. Shi and B. Yan, “A Survey on intelligent control for multiagent systems,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 51, no.1, pp.161–175, 2021.
    [3]
    T. Meng, Z. Lin, and Y. A. Shamash, “Distributed cooperative control of battery energy storage systems in DC microgrids,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 3, pp. 606–616, 2021. doi: 10.1109/JAS.2021.1003874
    [4]
    H. Hong, W. Yu, J. Fu, and X. Yu, “Finite-time connectivity-preserving consensus for second-order nonlinear multiagent systems,” IEEE Trans. Control of Network Systems, vol. 6, no. 1, pp. 236–248, 2019. doi: 10.1109/TCNS.2018.2808599
    [5]
    X.M. Zhang, Q.L. Han, X. Ge, D. Ding, L. Ding, D. Yue, and C. Peng, “Networked control systems: A survey of trends and techniques,” IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 1, pp. 1–17, 2020. doi: 10.1109/JAS.2019.1911861
    [6]
    Z. Wang, M. He, T. Zheng, Z. Fan, and G. Liu, “Guaranteed cost consensus for high-dimensional multi-agent systems with time-varying delays,” IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 181–189, 2018. doi: 10.1109/JAS.2017.7510430
    [7]
    X. Jiang, G. Xia, Z. Feng, and Z. Jiang, “Consensus tracking of data-sampled nonlinear multi-agent systems with packet loss and communication delay,” IEEE Trans. Network Science and Engineering, vol. 8, no. 1, pp. 126–137, 2021. doi: 10.1109/TNSE.2020.3029972
    [8]
    H. J. Savino, C. R. P. dos Santos, F. O. Souza, L. C. A. Pimenta, M. de Oliveira, and R. M. Palhares, “Conditions for consensus of multi-agent systems with time-delays and uncertain switching topology,” IEEE Trans. Industrial Electronics, vol. 63, no. 2, pp. 1258–1267, 2016. doi: 10.1109/TIE.2015.2504043
    [9]
    A. Nandanwar, N. K. Dhar, D. Malyshev, L. Rybak and L. Behera, “Stochastic event-based super-twisting formation control for multi-agent system under network uncertainties,” IEEE Trans. Control of Network Systems, to be published,
    [10]
    X. Ge, Q.-L. Han, L. Ding, Y. L. Wang, and X. M. Zhang, “Dynamic event-triggered distributed coordination control and its applications: A survey of trends and techniques,” IEEE Trans. Systems,Man,and Cybernetics:Systems, vol. 50, no. 9, pp. 3112–3125, 2020. doi: 10.1109/TSMC.2020.3010825
    [11]
    D. V. Dimarogonas, E. Frazzoli, and K. H. Johansson, “Distributed event-triggered control for multi-agent systems,” IEEE Trans. Automatic Control, vol. 57, no. 5, pp. 1291–1297, 2011.
    [12]
    W. Chen, D. Ding, X. Ge, Q.-L. Han, and G. Wei, “H∞ containment control of multiagent systems under event-triggered communication scheduling: The finite-horizon case,” IEEE Trans. Cybernetics, vol. 50, no. 4, pp. 1372–1382, 2020. doi: 10.1109/TCYB.2018.2885567
    [13]
    G. P. Liu, “Predictive controller design of networked systems with communication delays and data loss,” IEEE Trans. Circuits and Systems II, vol. 57, no. 6, pp. 481–485, 2010. doi: 10.1109/TCSII.2010.2048377
    [14]
    C. Tan and G. P. Liu, “Consensus of discrete-time linear networked multi-agent systems with communication delays,” IEEE Trans. Automatic Control, vol. 58, no. 11, pp. 2962–2968, 2013. doi: 10.1109/TAC.2013.2261177
    [15]
    G. P. Liu, “Consensus and stability analysis of networked multi-agent predictive control,” IEEE Trans. Cybernetics, vol. 47, no. 4, pp. 1114–1119, 2017. doi: 10.1109/TCYB.2016.2535126
    [16]
    G. P. Liu, “Predictive control of networked multi-agent systems via cloud computing,” IEEE Trans. Cybernetics, vol. 47, no. 8, pp. 1852–1859, 2017. doi: 10.1109/TCYB.2017.2647820
    [17]
    J. Ni, P. Shi, Y. Zhao, and Z. Wu, “Fixed-time output consensus tracking for high-order multi-agent systems with directed network topology and packet dropout,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 4, pp. 817–836, 2021. doi: 10.1109/JAS.2021.1003916
    [18]
    Q. Liu, “Pseudo-predictor feedback control for multiagent systems with both state and input delays,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 11, pp. 1827–1836, 2021. doi: 10.1109/JAS.2021.1004180
    [19]
    D. H. Nguyen, “Minimum-rank dynamic output consensus design for heterogeneous nonlinear multi-agent systems,” IEEE Trans. Control of Network Systems, vol. 5, no. 1, pp. 105–115, 2018. doi: 10.1109/TCNS.2016.2580908
    [20]
    C. L. P. Chen, G. X. Wen, and Y. J. Liu, “Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems,” IEEE Trans. Cybernetics, vol. 46, no. 7, pp. 1591–1601, 2016. doi: 10.1109/TCYB.2015.2452217
    [21]
    H. Hong, W. Yu, J. Fu, and X. Yu, “A novel class of distributed fixed-time consensus protocols for second-order nonlinear and disturbed multi-agent systems,” IEEE Trans. Network Science and Engineering, vol. 6, no. 4, pp. 760–772, 2019. doi: 10.1109/TNSE.2018.2873060
    [22]
    B. Ning, Q.-L. Han, and L. Ding, “Distributed secondary control of AC microgrids with external disturbances and directed communication topologies: A full-order sliding-mode approach,” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 3, pp. 554–564, 2021. doi: 10.1109/JAS.2020.1003315
    [23]
    C. Zhang, L. Chang, and X. Zhang, “Leader-follower consensus of upper-triangular nonlinear multi-agent systems,” IEEE/CAA Journal of Automatica Sinica, vol. 1, no. 2, pp. 210–217, 2014. doi: 10.1109/JAS.2014.7004552
    [24]
    G.R. Duan, “High-order fully actuated system approaches – Part I: Models and basic procedure,” Int. Journal of Systems Sciences, vol. 52, no. 2, pp. 422–435, 2021. doi: 10.1080/00207721.2020.1829167
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    Highlights

    • A high-order fully actuated predictive coordination method is proposed for multi-agents.
    • The proposed method compensates for communication constraints actively.
    • The simultaneous stability and consensus criteria of nonlinear multi-agents are derived.

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