Research article

Edge event-triggered control and state-constraint impulsive consensus for nonlinear multi-agent systems

  • Received: 06 January 2020 Accepted: 31 March 2020 Published: 29 April 2020
  • MSC : 34, 37

  • In the paper, some consensus problems of multi-agent system controlled by edge event-triggered strategy and state-constraint impulsive are taken into account. For the state-constraint impulsive protocol, two types of control protocols which contain input saturation and double actuator saturation are put forward. With regard to the edge event-triggered control, we propose the rule of it and let the time of the edge event-triggered be impulsive time to avoid the Zeno-behavior. Then, compared to the control method of others, we can greatly reduce the cost in the process of exchanging information. Next, some sufficient conditions of the system are required to reach consensus. In the end, a few examples are exploited for testing and checking the theoretical analyses.

    Citation: Le You, Chuandong Li, Xiaoyu Zhang, Zhilong He. Edge event-triggered control and state-constraint impulsive consensus for nonlinear multi-agent systems[J]. AIMS Mathematics, 2020, 5(5): 4151-4167. doi: 10.3934/math.2020266

    Related Papers:

  • In the paper, some consensus problems of multi-agent system controlled by edge event-triggered strategy and state-constraint impulsive are taken into account. For the state-constraint impulsive protocol, two types of control protocols which contain input saturation and double actuator saturation are put forward. With regard to the edge event-triggered control, we propose the rule of it and let the time of the edge event-triggered be impulsive time to avoid the Zeno-behavior. Then, compared to the control method of others, we can greatly reduce the cost in the process of exchanging information. Next, some sufficient conditions of the system are required to reach consensus. In the end, a few examples are exploited for testing and checking the theoretical analyses.


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    [1] X. Tan, J. Cao, X. Li, Leader-following mean square consensus of stochastic multi-agent systems with input delay via event-triggered control, IET Contr. Theory Appl., 12 (2017), 299-309.
    [2] Y. Han, C. Li, W. Zhang, et al. Impulsive consensus of multiagent systems with limited bandwidth based on encoding-decoding, IEEE Trans. Cybern., 50 (2020), 36-47. doi: 10.1109/TCYB.2018.2863108
    [3] Z. Xu, C. Li, Y. Han, Leader-following fixed-time quantized consensus of multi-agent systems via impulsive control, J. Franklin Inst., 356 (2019), 441-456. doi: 10.1016/j.jfranklin.2018.10.009
    [4] G. Wen, Z. Duan, W. Yu, et al. Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications, Int. J. Control, 86 (2013), 322-331. doi: 10.1080/00207179.2012.727473
    [5] H. Li, X. Liao, T. Huang, et al. Event-triggering sampling based leader-following consensus in second-order multi-agent systems, IEEE Trans. Autom. Control, 60 (2014), 1998-2003.
    [6] Q. Song, J. Cao, W. Yu, Second-order leader-following consensus of nonlinear multi-agent systems via pinning control, Syst. Control Lett., 59 (2010), 553-562. doi: 10.1016/j.sysconle.2010.06.016
    [7] R. Olfati-Saber, R. Murray, Consensus problems in networks of agents with switching topology and time-delays, Syst. Control Lett., 49 (2004), 1520-1533.
    [8] R. Olfati-Saber, J. Fax, R, Murray, Consensus and cooperation in networked multi-agent systems, Proc. IEEE, 95 (2007), 215-233. doi: 10.1109/JPROC.2006.887293
    [9] T. Ma, Z. Zhang, Adaptive consensus of multi-agent systems via odd impulsive control, Neurocomputing, 321 (2018), 139-145. doi: 10.1016/j.neucom.2018.09.007
    [10] Z. Guan, F. Sun, Y. Wang, et al. Finite-time consensus for leader-following second-order multiagent networks, IEEE Trans. Circuits Syst., 59 (2012), 2646-2654. doi: 10.1109/TCSI.2012.2190676
    [11] Y. Han, C. Li, Second-order consensus of discrete-time multi-agent systems in directed networks with nonlinear dynamics via impulsive protocols, Neurocomputing, 286 (2018), 51-57. doi: 10.1016/j.neucom.2018.01.053
    [12] G. Wen, P. Chen, Y. Liu, et al. Neural-network-based adaptive leader-following consensus control for second-order non-linear multi-agent systems, IET Control Theory Appl., 9 (2015), 1927-1934. doi: 10.1049/iet-cta.2014.1319
    [13] J. Mei, W. Ren, Distributed consensus of second-order multi-agent systems with heterogeneous unknown inertias and control gains under a directed graph, IEEE Trans. Autom. Control, 61 (2016), 2019-2034. doi: 10.1109/TAC.2015.2480336
    [14] Y. Huang, Y. Li, W. Hu, Distributed rotating formation control of second-order leader-following multi-agent systems with nonuniform delays, J. Franklin Inst., 356 (2019), 3090-3101. doi: 10.1016/j.jfranklin.2019.02.009
    [15] Y. Feng, C. Li, Sandwich control systems with impulse time windows, Int. J. Mach. Learn. Cybern., 8 (2017), 2009-2015. doi: 10.1007/s13042-016-0580-5
    [16] Z. He, C. Li, L. Chen, et al. Dynamic behaviors of the FitzHugh CNagumo neuron model with state-dependent impulsive effects, Neural Netw, 121 (2020), 497-511. doi: 10.1016/j.neunet.2019.09.031
    [17] X. Li, X. Yang, T. Huang, Persistence of delayed cooperative models: Impulsive control method, Appl. Math. Comput., 342 (2019), 130-146.
    [18] L. Li, C. Li, H. Li, An analysis and design for time-varying structures dynamical networks via state constraint impulsive control, Int. J. Control, 92 (2019), 2820-2828. doi: 10.1080/00207179.2018.1459861
    [19] G. Cai, Z. Zhang, G. Feng, et al. Delay feedback impulsive control of a time-delay nonlinear complex financial networks, Indian J. Phys., 93 (2019), 1181-1186. doi: 10.1007/s12648-019-01377-y
    [20] X. Li, B. Martin, An impulsive delay differential inequality and applications, Comput. Math. Appl., 64 (2012), 1875-1881. doi: 10.1016/j.camwa.2012.03.013
    [21] X. Li, H. Daniel, J. Cao, Finite-time stability and settling-time estimation of nonlinear impulsive systems, Automatica, 99 (2019), 361-368. doi: 10.1016/j.automatica.2018.10.024
    [22] L. Chen, Z. He, C. Li, et al. On existence and continuation of solutions of the state-dependent impulsive dynamical system with boundary constraints, Adv. Differ. Equ., 2019 (2019).
    [23] X. Zhang, X. Lv, X. Li, Sampled-data-based lag synchronization of chaotic delayed neural networks with impulsive control, Nonlinear Dyn., 90 (2017), 2199-2207. doi: 10.1007/s11071-017-3795-4
    [24] X. He, C. Li, X. Pan, Impulsive control and Hopf bifurcation of a three-dimensional chaotic system, J. Vib. Control, 20 (2014), 1361-1368. doi: 10.1177/1077546312470475
    [25] X. Hai, G. Ren, Y. Yu, et al. Impulsive control and Hopf bifurcation of a three-dimensional chaotic system, Commun. Nonlinear Sci. Numer. Simul., 82, 2020.
    [26] K. Guan, F. Tan, J. Yang, Global power synchronization of complex dynamical networks with proportional delay and impulsive effects, Neurocomputing, 366 (2019), 23-34. doi: 10.1016/j.neucom.2019.07.087
    [27] Z. Xu, X. Li, P. Duan, Synchronization of complex networks with time-varying delay of unknown bound via delayed impulsive control, Neural Netw., 125 (2020), 224-232. doi: 10.1016/j.neunet.2020.02.003
    [28] Z. Guan, H. Zhang, Stabilization of complex network with hybrid impulsive and switching control, Chaos, Solitons Fractals, 37 (2008), 1372-138. doi: 10.1016/j.chaos.2006.10.064
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