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Volume 8 Issue 10
Oct.  2021

IEEE/CAA Journal of Automatica Sinica

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Z. X. Liu, Y. B. Li, F. Y. Wang, and Z. Q. Chen, "Reduced-Order Observer-Based Leader-Following Formation Control for Discrete-Time Linear Multi-Agent Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1715-1723, Oct. 2021. doi: 10.1109/JAS.2020.1003441
Citation: Z. X. Liu, Y. B. Li, F. Y. Wang, and Z. Q. Chen, "Reduced-Order Observer-Based Leader-Following Formation Control for Discrete-Time Linear Multi-Agent Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1715-1723, Oct. 2021. doi: 10.1109/JAS.2020.1003441

Reduced-Order Observer-Based Leader-Following Formation Control for Discrete-Time Linear Multi-Agent Systems

doi: 10.1109/JAS.2020.1003441
Funds:  This work was supported by National Natural Science Foundation of China (61573200, 61973175), and the Fundamental Research Funds for the Central Universities, Nankai University (63201196)
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  • Formation control of discrete-time linear multi-agent systems using directed switching topology is considered in this work via a reduced-order observer, in which a formation control protocol is proposed under the assumption that each directed communication topology has a directed spanning tree. By utilizing the relative outputs of neighboring agents, a reduced-order observer is designed for each following agent. A multi-step control algorithm is established based on the Lyapunov method and the modified discrete-time algebraic Riccati equation. A sufficient condition is given to ensure that the discrete-time linear multi-agent system can achieve the expected leader-following formation. Finally, numerical examples are provided so as to demonstrate the effectiveness of the obtained results.

     

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  • [1]
    T. Sun, F. Liu, H. Pei, and Y. He, “Observer-based adaptive leader-following formation control for non-holonomic mobile robots,” IET Control Theory Appl., vol. 6, no. 18, pp. 2835–2841, Jun. 2012. doi: 10.1049/iet-cta.2011.0492
    [2]
    W. Qin, Z. Liu, and Z. Chen, “Formation control for nonlinear multi-agent systems with linear extended state observer,” IEEE/CAA J. Autom. Sinica, vol. 1, no. 2, pp. 171–179, Feb. 2014. doi: 10.1109/JAS.2014.7004547
    [3]
    A. T. Hafez, S. N. Givigi, and S. Yousefi, “Unmanned aerial vehicles formation using learning based model predictive control,” Asian J. Control, vol. 20, no. 3, pp. 1014–1026, Mar. 2018. doi: 10.1002/asjc.1774
    [4]
    F. Wang, Z. Liu, and Z. Chen, “Distributed containment control for second-order multiagent systems with time delay and intermittent communication,” Int. J. Robust Nonlin. Control, vol. 28, no. 18, pp. 5730–5746, 2018. doi: 10.1002/rnc.4341
    [5]
    F. Wang, Z. Liu, and Z. Chen, “Containment control for second-order nonlinear multi-agent systems with aperiodically intermittent position measurements,” J. Frankl. Inst., vol. 356, no. 15, pp. 8706–8725, 2019. doi: 10.1016/j.jfranklin.2018.11.057
    [6]
    F. Wang, Y. Ni, Z. Liu, and Z. Chen, “Containment control for general second-order multi-agent systems with switched dynamics,” IEEE Trans. Cybern., vol. 50, no. 2, pp. 550–560, Feb. 2020. doi: 10.1109/TCYB.2018.2869706
    [7]
    F. Wang, Y. Ni, Z. Liu, and Z. Chen, “Fully distributed containment control for second-order multi-agent systems with communication delay,” ISA Transactions, vol. 99, pp. 123–129, Apr. 2020. doi: 10.1016/j.isatra.2019.09.009
    [8]
    A. Odekunle, W. Gao, M. Davari, and Z. P. Jiang, “Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems, ” Automatica, vol. 112, Aiticle No. 108672, 2020.
    [9]
    H. Cai and J. Huang, “Leader-following adaptive consensus of multiple uncertain rigid spacecraft systems,” Sci. China Inf. Sci., vol. 59, no. 1, pp. 1–13, 2016.
    [10]
    W. Wang, C. Wen, and J. Huang, “Distributed adaptive asymptotically consensus tracking control of nonlinear multi-agent systems with unknown parameters and uncertain disturbances,” Automatica, vol. 77, no. 3, pp. 133–142, 2017.
    [11]
    Z. Liu and Z. Chen, “Discarded consensus of network of agents with state constraint,” IEEE Trans. Autom. Control, vol. 57, no. 11, pp. 2869–2874, Nov. 2012. doi: 10.1109/TAC.2012.2190199
    [12]
    D. H. Nguyen, T. Narikiyo, and M. Kawanishi, “Robust consensus analysis and design under relative state constraints or uncertainties,” IEEE Trans. Autom. Control, vol. 63, no. 6, pp. 1784–1790, Jul. 2017.
    [13]
    W. Ren and R. W. Beard, “Consensus seeking in multiagent systems under dynamically changing interaction topologies,” IEEE Trans. Autom. Control, vol. 50, no. 5, pp. 655–661, May 2005. doi: 10.1109/TAC.2005.846556
    [14]
    F. Xiao and L. Wang, “State consensus for multi-agent systems with switching topologies and time-varying delays,” Int. J. Control, vol. 79, no. 10, pp. 1277–1284, 2006. doi: 10.1080/00207170600825097
    [15]
    Y. Sun and L. Wang, “Consensus of multi-agent systems in directed networks with nonuniform time-varying delays,” IEEE Trans. Autom. Control, vol. 54, no. 7, pp. 1607–1613, May 2009. doi: 10.1109/TAC.2009.2017963
    [16]
    S. Feng, L. Wang, Y. Li, S. Sun, and C. Xia, “A nonlinear merging protocol for consensus in multi-agent systems on signed and weighted graphs,” Physica A:Statistical Mechanics and its Applications, vol. 490, pp. 653–663, 2018. doi: 10.1016/j.physa.2017.08.054
    [17]
    Y. Hong, J. Hu, and L. Gao, “Tracking control for multi-agent consensus with an active leader and variable topology,” Automatica, vol. 42, no. 7, pp. 1177–1182, 2006. doi: 10.1016/j.automatica.2006.02.013
    [18]
    A. Abdessameud and A. Tayebi, “On consensus algorithms for double-integrator dynamics without velocity measurements and with input constraints,” Syst. Control Lett., vol. 59, no. 12, pp. 812–821, 2010. doi: 10.1016/j.sysconle.2010.06.019
    [19]
    W. Yu, G. Chen, and M. Cao, “Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems,” Automatica, vol. 46, no. 6, pp. 1089–1095, 2010. doi: 10.1016/j.automatica.2010.03.006
    [20]
    L. Wang, S. Sun, C. Xia, “Finite-time stability of multi-agent system in disturbed environment,” Nonlinear Dynamics, vol. 67, no. 3, pp. 2009–2016, 2012. doi: 10.1007/s11071-011-0125-0
    [21]
    F. Wang, Z. Liu, and Z. Chen, “A novel leader-following consensus of multi-agent systems with smart leader,” Int. J. Control Autom. Syst., vol. 16, no. 4, pp. 1483–1492, 2018. doi: 10.1007/s12555-017-0266-0
    [22]
    F. Wang, Z. Liu, and Z. Chen, “Leader-following consensus of second-order nonlinear multi-agent systems with intermittent position measurements, ” Sci. China Inf. Sci., vol. 62, no. 10, Aiticle No. 202204, 2019.
    [23]
    Z. Li, Z. Duan, and G. Chen, “Dynamic consensus of linear multi-agent systems,” IET Control Theory Appl., vol. 5, no. 1, pp. 19–28, 2011. doi: 10.1049/iet-cta.2009.0466
    [24]
    L. Gao, J. Li, X. Zhu, and W. Chen, “Leader-following consensus of linear multi-agent systems with state-observer under switching topologies,” Math. Probl. Eng., vol. 2013, pp. 1–13, 2013.
    [25]
    M. Diao, Z. Duan, and G. Wen, “Consensus tracking of linear multi-agent systems under networked observability conditions,” Int. J. Control, vol. 87, no. 8, pp. 1478–1486, 2014. doi: 10.1080/00207179.2013.873950
    [26]
    M. Hu, L. Guo, A. Hu, and Y. Yang, “Leader-following consensus of linear multi-agent systems with randomly occurring nonlinearities and uncertainties and stochastic disturbances,” Neurocomputing, vol. 149, pp. 884–890, 2015. doi: 10.1016/j.neucom.2014.07.047
    [27]
    W. Hu, L. Liu, and G. Feng, “Consensus of linear multi-agent systems by distributed event-triggered strategy,” IEEE Trans. Cybern., vol. 46, no. 1, pp. 148–157, Jan. 2016. doi: 10.1109/TCYB.2015.2398892
    [28]
    P. Lin and Y. Jia, “Consensus of second-order discrete-time multi-agent systems with nonuniform time-delays and dynamically changing topologies,” Automatica, vol. 45, no. 9, pp. 2154–2158, 2009. doi: 10.1016/j.automatica.2009.05.002
    [29]
    Y. Gao, J. Ma, M. Zuo, T. Jiang, and J. Du, “Consensus of discrete-time second-order agents with time-varying topology and time-varying delays,” J. Frankl. Inst., vol. 349, no. 8, pp. 2598–2608, 2012. doi: 10.1016/j.jfranklin.2012.06.009
    [30]
    X. Xu, S. Chen, W. Huang, and L. Gao, “Leader-following consensus of discrete-time multi-agent systems with observer-based protocols,” Neurocomputing, vol. 118, pp. 334–341, 2013. doi: 10.1016/j.neucom.2013.02.023
    [31]
    Y. Su and J. Huang, “Two consensus problems for discrete-time multi-agent systems with switching network topology,” Automatica, vol. 48, no. 9, pp. 1988–1997, 2012. doi: 10.1016/j.automatica.2012.03.029
    [32]
    J. Huang, “The consensus for discrete-time linear multi-agent systems under directed switching networks,” IEEE Trans. Autom. Control, vol. 62, no. 8, pp. 4086–4092, Aug. 2016.
    [33]
    L. Gao, B. Xu, J. Li, and H. Zhang, “Distributed reduced-order observer-based approach to consensus problems for linear multi-agent systems,” IET Control Theory Appl., vol. 9, no. 5, pp. 784–792, 2015. doi: 10.1049/iet-cta.2013.1104
    [34]
    T. Yang, P. Zhang, and S. Yu, “Consensus of linear multi-agent systems via reduced-order observer,” Neurocomputing, vol. 240, pp. 200–208, 2017. doi: 10.1016/j.neucom.2017.01.087
    [35]
    B. Xu, J. Li, and L. Gao, “Distributed reduced-order observer-based consensus control of discrete-time linear multi-agent systems,” IFAC Proceedings Volumes, vol. 46, no. 20, pp. 124–129, 2013. doi: 10.3182/20130902-3-CN-3020.00040
    [36]
    W. Ren, “Consensus strategies for cooperative control of vehicle formations,” IET Control Theory Appl., vol. 1, no. 2, pp. 505–512, 2007. doi: 10.1049/iet-cta:20050401
    [37]
    Z. Lin, B. Francis, and M. Maggiore, “Necessary and sufficient graphical conditions for formation control of unicycles,” IEEE Trans. Autom. Control, vol. 50, no. 1, pp. 121–127, Jan. 2005. doi: 10.1109/TAC.2004.841121
    [38]
    J. R. Lawton, R. W. Beard, and B. J. Young, “A decentralized approach to formation maneuvers,” IEEE Trans. Robot. Autom., vol. 19, no. 6, pp. 933–941, Jun. 2003. doi: 10.1109/TRA.2003.819598
    [39]
    K. K. Oh and H. S. Ahn, “Formation control of mobile agents based on inter-agent distance dynamics,” Automatica, vol. 47, no. 10, pp. 2306–2312, 2011. doi: 10.1016/j.automatica.2011.08.019
    [40]
    X. Dong and G. Hu, “Time-varying formation control for general linear multi-agent systems with switching directed topologies,” Automatica, vol. 73, pp. 47–55, 2016. doi: 10.1016/j.automatica.2016.06.024
    [41]
    X. Dong, C. Sun, and G. Hu, “Time-varying output formation control for linear multi-agent systems with switching topologies,” Int. J. Robust Nonlin. Control, vol. 26, no. 16, pp. 3558–3579, 2016. doi: 10.1002/rnc.3519
    [42]
    R. Wang, X. Dong, Q. Li, and Z. Ren, “Distributed adaptive time-varying formation for multi-agent systems with general high-order linear time-invariant dynamics,” J. Frankl. Inst., vol. 353, no. 10, pp. 2290–2304, 2016. doi: 10.1016/j.jfranklin.2016.03.016
    [43]
    W. Gao, Z. P. Jiang, F. L. Lewis, and Y. Wang, “Leader-to-formation stability of multiagent systems: An adaptive optimal control approach,” IEEE Trans. Autom. Control, vol. 63, no. 10, pp. 3581–3587, Oct. 2018. doi: 10.1109/TAC.2018.2799526
    [44]
    R. A. Horn and C. R. Johnson. Matrix Analysis. London, UK: Cambridge University Press, 1985.
    [45]
    B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, M. I. Jordan, and S. S. Sastry, “Kalman filtering with intermittent observations,” IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1453–1464, Sep. 2004. doi: 10.1109/TAC.2004.834121
    [46]
    L. Schenato, B. Sinopoli, M. Franceschetti, K. Poolla, and S. S. Sastry, “Foundations of control and estimation over lossy networks,” Proc. IEEE, vol. 95, no. 1, pp. 163–187, Jan. 2007. doi: 10.1109/JPROC.2006.887306
    [47]
    W. Ren and Y. Cao, Distributed Coordination of Multi-agent Networks: Emergent Problems, Models, and Issues. New York, USA: Springer-Verlag London Limited, 2010.

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    Highlights

    • Under directed switching topology, the leader-following formation control problem for discrete-time linear multi-agent systems is first considered in this work.
    • A novel reduced-order observer is designed for each following agent based on the relative output information, which can estimate the state effectively.
    • Based on the Lyapunov method and the modified discrete-time Algebraic Riccati Equation, a multi-step control algorithm is established for achieving the expected leader-following formation.

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