This paper investigates the leader-following consensus problem of stochastic multi-agent systems (SMASs) with packet dropouts. Specifically, an intermittent impulsive control (IIC) strategy is proposed to reduce communication and control costs, combining the distinct strengths of aperiodic intermittent control and impulsive control techniques. The packet dropout phenomenon, which is described by an auxiliary function, is taken into account. Based on the linear matrix inequality (LMI) technique and the average dwell time algorithm, sufficient Lyapunov-based conditions are derived to ensure that the SMASs achieve mean-square leader-following consensus. Finally, numerical simulations based on the classical Chua's circuit model are presented to illustrate the effectiveness of the derived results.
Citation: Jiawei Zhuang, Dacai Liu, Jiacheng Xu, Lin Fu, Changrun Chen. Intermittent impulsive control for leader-following consensus of stochastic multi-agent systems with packet dropouts[J]. AIMS Mathematics, 2026, 11(8): 25044-25063. doi: 10.3934/math.20261006
This paper investigates the leader-following consensus problem of stochastic multi-agent systems (SMASs) with packet dropouts. Specifically, an intermittent impulsive control (IIC) strategy is proposed to reduce communication and control costs, combining the distinct strengths of aperiodic intermittent control and impulsive control techniques. The packet dropout phenomenon, which is described by an auxiliary function, is taken into account. Based on the linear matrix inequality (LMI) technique and the average dwell time algorithm, sufficient Lyapunov-based conditions are derived to ensure that the SMASs achieve mean-square leader-following consensus. Finally, numerical simulations based on the classical Chua's circuit model are presented to illustrate the effectiveness of the derived results.
| [1] |
A. Amirkhani, A. H. Barshooi, Consensus in multi-agent systems: A review, Artif. Intell. Rev., 55 (2022), 3897–3935. https://doi.org/10.1007/s10462-021-10097-x doi: 10.1007/s10462-021-10097-x
|
| [2] |
L. H. C. Ferreira, F. H. D. Guaracy, Fully distributed design for synchronization of discrete-time multiagent systems using state feedback protocols, IEEE Trans. Autom. Control, 71 (2026), 638–643. https://doi.org/10.1109/TAC.2025.3598674 doi: 10.1109/TAC.2025.3598674
|
| [3] |
M. L. Scarpa, T. Mylvaganam, Connections between port-controlled hamiltonian systems and differential games and their applications to decentralised control of multi-agent systems, Automatica, 187 (2026), 112913. https://doi.org/10.1016/j.automatica.2026.112913 doi: 10.1016/j.automatica.2026.112913
|
| [4] |
R. Li, Q. Gan, H. Wu, J. Cao, Q. Kang, Resilient finite-time consensus of variable-order fractional multiagent systems under DoS attacks, IEEE Trans. Syst. Man Cybern. Syst., 55 (2025), 3188–3201. https://doi.org/10.1109/TSMC.2025.3539656 doi: 10.1109/TSMC.2025.3539656
|
| [5] |
R. B. Zadeh, A. Elmi, V. Moghaddam, S. MahmoudZadeh, A conceptual high level multiagent system for wildfire management, IEEE Trans. Geosci. Remote. Sens., 63 (2025), 5911415. https://doi.org/10.1109/TGRS.2025.3559062 doi: 10.1109/TGRS.2025.3559062
|
| [6] |
X. Wang, J. Wang, Y. Y. Chen, Y. Ma, S. Li, Hierarchical consensus of constrained second-order multiagent systems with application to formation of multiple mobile robots, IEEE Trans. Autom. Control, 71 (2026), 886–901. https://doi.org/10.1109/TAC.2025.3602134 doi: 10.1109/TAC.2025.3602134
|
| [7] |
J. Zhuang, S. Peng, Y. Wang, Leader-following consensus of discrete-time stochastic nonlinear multiagent systems under fixed and switching topologies via impulsive control, IEEE Syst. J., 16 (2022), 6021–6030. https://doi.org/10.1109/JSYST.2022.3171568 doi: 10.1109/JSYST.2022.3171568
|
| [8] |
J. Zhuang, S. Peng, Y. Wang, Exponential consensus of stochastic discrete multi-agent systems under DoS attacks via periodically intermittent control: An impulsive framework, Appl. Math. Comput., 433 (2022), 127389. https://doi.org/10.1016/j.amc.2022.127389 doi: 10.1016/j.amc.2022.127389
|
| [9] |
S. Xing, M. Li, F. Deng, Dynamic event-triggered consensus tracking control for nonlinear stochastic multi-agent systems under dual network attacks, Int. J. Robust Nonlinear Control, 35 (2025), 706–716. https://doi.org/10.1002/rnc.7678 doi: 10.1002/rnc.7678
|
| [10] |
Y. Gao, C. Hu, J. Yu, S. Wen, Intermediate signal-based fixed-time consensus of fuzzy stochastic multi-agent systems under deception attacks, Fuzzy Sets Syst., 536 (2026), 109889. https://doi.org/10.1016/j.fss.2026.109889 doi: 10.1016/j.fss.2026.109889
|
| [11] |
A. Elahi, A. Alfi, H. Modares, Distributed consensus control of vehicular platooning under delay, packet dropout and noise: Relative state and relative input-output control strategies, IEEE Trans. Intell. Transp. Syst., 23 (2022), 20123–20133. https://doi.org/10.1109/TITS.2022.3174060 doi: 10.1109/TITS.2022.3174060
|
| [12] |
H. Shen, Y. Wang, J. Wu, J. H. Park, J. Wang, Secure control for markov jump cyber-physical systems subject to malicious attacks: A resilient hybrid learning scheme, IEEE Trans. Cybern., 23 (2024), 7068–7079. https://doi.org/10.1109/TCYB.2024.3448407 doi: 10.1109/TCYB.2024.3448407
|
| [13] |
X. Jiang, X. Ren, B. Li, F. Liu, W. Chen, Optimal performance of discrete networked systems with cyber-attack and packet dropouts, IEEE Trans. Syst. Man Cybern. Syst., 55 (2025), 5362–5373. https://doi.org/10.1109/TSMC.2025.3571466 doi: 10.1109/TSMC.2025.3571466
|
| [14] |
S. Yan, H. Qian, P. Ding, S. Chu, H. Wang, Finite-time tolerant containment control for IT2 T-S fuzzy network multi-agent systems with actuator faults, packet dropouts and dos attacks, ISA Trans., 137 (2023), 199–209. https://doi.org/10.1016/j.isatra.2023.01.036 doi: 10.1016/j.isatra.2023.01.036
|
| [15] |
L. Zhang, W. Wang, H. Zhang, Mean-square consensus for heterogeneous multi-agent systems with packet losses, IEEE Trans. Circuits Syst. II Express Briefs, 71 (2024), 2779–2783. https://doi.org/10.1109/TCSII.2024.3351875 doi: 10.1109/TCSII.2024.3351875
|
| [16] | Z. Hu, X. Zhao, D. W. C. Ho, B. Shen, F. Deng, B. Xu, Leader-following consensus of multi-agent systems with energy-dependent packet dropouts, IEEE Trans. Autom. Control, 2026, 1–8. https://doi.org/10.1109/TAC.2026.3681143 |
| [17] |
M. Abbasi, H. J. Marquez, Dynamic event-triggered consensus control of multi-agent systems with time-varying delays and semi-markovian switching topology, IEEE Trans. Autom. Sci. Eng., 22 (2025), 19069–19080. https://doi.org/10.1109/TASE.2025.3592691 doi: 10.1109/TASE.2025.3592691
|
| [18] |
G. Zhang, C. Liang, Q. Zhu, Adaptive fuzzy event-triggered optimized consensus control for delayed unknown stochastic nonlinear multi-agent systems using simplified ADP, IEEE Trans. Autom. Sci. Eng., 22 (2025), 11780–11793. https://doi.org/10.1109/TASE.2025.3540468 doi: 10.1109/TASE.2025.3540468
|
| [19] |
B. Zhang, L. Cai, F. Deng, S. Xie, Consensus of multi-agent systems via aperiodically intermittent sampling stochastic noise, IEEE Trans. Circuits Syst. I Regul. Pap., 71 (2024), 1311–1323. https://doi.org/10.1109/TCSI.2023.3336730 doi: 10.1109/TCSI.2023.3336730
|
| [20] |
X. Liu, P. Cheng, Y. Cui, Stabilization and destabilization of impulsive markovian switching systems via periodic stochastic controls and impulsive controls, Int. J. Robust Nonlinear Control, 34 (2024), 3224–3240. https://doi.org/10.1002/rnc.7133 doi: 10.1002/rnc.7133
|
| [21] |
S. Luo, F. Deng, Y. Jiang, Convergence theorems for stochastic impulsive systems with application to discrete-time stochastic feedback control, IEEE Trans. Autom. Control, 70 (2025), 431–446. https://doi.org/10.1109/TAC.2024.3433068 doi: 10.1109/TAC.2024.3433068
|
| [22] |
X. S. Dai, H. Zuo, F. Deng, Mean-square finite-time stability and stabilization of impulsive stochastic distributed parameter systems, IEEE Trans. Syst. Man Cybern. Syst., 55 (2025), 4064–4075. https://doi.org/10.1109/TSMC.2025.3547949 doi: 10.1109/TSMC.2025.3547949
|
| [23] |
X. Li, M. Wang, Input-to-state stability of self-triggered impulsive control systems, Automatica, 183 (2026), 112596. https://doi.org/10.1016/j.automatica.2025.112596 doi: 10.1016/j.automatica.2025.112596
|
| [24] |
B. Kumar, M. Malik, Consensus analysis via impulsive control for nonlinear hybrid singular switched multi-agent systems with event-triggered mechanism, Int. J. Syst. Sci., 55 (2024), 2701–2726. https://doi.org/10.1080/00207721.2024.2348630 doi: 10.1080/00207721.2024.2348630
|
| [25] |
Z. He, C. Li, L. Nie, Synchronization of complex dynamical networks with saturated delayed impulsive control, ISA Trans., 157 (2025), 153–163. https://doi.org/10.1016/j.isatra.2024.11.058 doi: 10.1016/j.isatra.2024.11.058
|
| [26] |
Q. Cui, J. Cao, M. Abdel-Aty, A. Kashkynbayev, Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control, Neural Netw., 181 (2025), 106873. https://doi.org/10.1016/j.neunet.2024.106873 doi: 10.1016/j.neunet.2024.106873
|
| [27] |
Q. Fang, M. Wang, X. Li, Event-triggered impulsive control for switched systems involving stable and unstable modes, IEEE Trans. Autom. Sci. Eng., 22 (2025), 18963–18971. https://doi.org/10.1109/TASE.2025.3591021 doi: 10.1109/TASE.2025.3591021
|
| [28] |
H. Liu, K. N. Wu, X. Li, Impulsive control under event-triggered mechanism for reaction-diffusion systems with impulsive disturbances, IEEE Trans. Cybern., 55 (2025), 5471–5479. https://doi.org/10.1109/TCYB.2025.3599394 doi: 10.1109/TCYB.2025.3599394
|
| [29] |
M. Gu, A. Abdurahman, M. Sader, C. Hu, H. Jiang, S. Wen, J. Cao, Direct data-driven impulsive control with average impulse interval and event-triggered mechanism, IEEE Trans. Autom. Sci. Eng., 23 (2026), 2417–2426. https://doi.org/10.1109/TASE.2026.3653819 doi: 10.1109/TASE.2026.3653819
|
| [30] |
X. Wang, Y. Cao, G. Zong, H. Wang, B. Niu, Resilient adaptive intermittent control of nonlinear systems under deception attacks, IEEE Trans. Syst. Man Cybern. Syst., 54 (2024), 2171–2180. https://doi.org/10.1109/TSMC.2023.3341073 doi: 10.1109/TSMC.2023.3341073
|
| [31] |
X. Zhong, Y. Yang, F. Deng, G. Liu, Rumor propagation control with anti-rumor mechanism and intermittent control strategies, IEEE Trans. Comput. Soc. Syst., 11 (2024), 2397–2409. https://doi.org/10.1109/TCSS.2023.3277465 doi: 10.1109/TCSS.2023.3277465
|
| [32] |
A. Abudireman, A. Abdurahman, Fixed-time synchronization of spatiotemporal fuzzy neural network via aperiodic intermittent control with hyperbolic sine function, J. Appl. Math. Comput., 71 (2025), 6651–6673. https://doi.org/10.1007/s12190-025-02569-y doi: 10.1007/s12190-025-02569-y
|
| [33] |
W. Mao, S. You, Y. Jiang, X. Mao, Stochastic stabilization of hybrid neural networks by periodically intermittent control based on discrete-time state observations, Nonlinear Anal. Hybrid Syst., 48 (2023), 101331. https://doi.org/10.1016/j.nahs.2023.101331 doi: 10.1016/j.nahs.2023.101331
|
| [34] |
Q. Liu, H. Zhang, X. Shi, Collision-avoiding fixed-time flocking of a singular cucker–smale system with periodic intermittent control, J. Frankl. Inst., 361 (2024), 106617. https://doi.org/10.1016/j.jfranklin.2024.01.018 doi: 10.1016/j.jfranklin.2024.01.018
|
| [35] |
C. Gao, Y. Xiao, H. Dong, B. Guo, Periodic intermittent control for almost sure stability of stochastic strict-feedback semi-markov jump systems, Nonlinear Anal. Hybrid Syst., 54 (2024), 101524. https://doi.org/10.1016/j.nahs.2024.101524 doi: 10.1016/j.nahs.2024.101524
|
| [36] |
J. Liu, Y. Zhuang, C. Mu, J. Liu, C. Sun, Practical fixed-time aperiodic intermittent path-following control of underactuated usv with dynamic collision avoidance, IEEE Trans. Instrum. Meas., 74 (2025), 3001314. https://doi.org/10.1109/TIM.2025.3545190 doi: 10.1109/TIM.2025.3545190
|
| [37] |
N. Rong, D. Li, S. Ding, L. Liu, Event-triggered intermittent control for IT2 T-S fuzzy interconnected system on time scales, IEEE Trans. Autom. Sci. Eng., 22 (2025), 15502–15512. https://doi.org/10.1109/TASE.2025.3567999 doi: 10.1109/TASE.2025.3567999
|
| [38] |
L. Zheng, S. Xu, J. H. Park, Exponential synchronization of complex networks on time scales with event-based asynchronous intermittent pinning control, Syst. Control Lett., 208 (2026), 106313. https://doi.org/10.1016/j.sysconle.2025.106313 doi: 10.1016/j.sysconle.2025.106313
|
| [39] |
J. Zhuang, S. Peng, Y. Wang, Event-triggered intermittent-based impulsive control for stabilization of nonlinear systems, IEEE Trans. Circuits Syst. II Express Briefs, 69 (2022), 5039–5043. https://doi.org/10.1109/TCSII.2022.3204570 doi: 10.1109/TCSII.2022.3204570
|
| [40] |
J. Zhuang, H. Peng, S. Peng, S. Zhang, Asynchronous impulsive-based intermittent control for bounded anti-synchronization of stochastic neural networks, Commun. Nonlinear Sci. Numer. Simul., 161 (2026), 110157. https://doi.org/10.1016/j.cnsns.2026.110157 doi: 10.1016/j.cnsns.2026.110157
|
| [41] | J. L. Gross, J. Yellen, M. Anderson, Graph theory and its applications, New York: Chapman and Hall/CRC, 2018. https://doi.org/10.1201/9780429425134 |
| [42] |
S. Luo, F. Deng, X. Yu, Unified stability analysis for Itô stochastic systems: From almost surely asymptotic to finite-time convergence, IEEE Trans. Autom. Control, 67 (2022), 406–412. https://doi.org/10.1109/TAC.2021.3057990 doi: 10.1109/TAC.2021.3057990
|