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Robust finite/fixed-time bipartite flocking control for networked agents under actuator attacks and perturbations

Author

Listed:
  • Lu, Jiaqi
  • Qin, Kaiyu
  • Li, Meng
  • Lin, Boxian
  • Shi, Mengji

Abstract

Flocking is a remarkable phenomenon observed in self-organization agent groups, where individuals follow simple interaction rules to achieve collective grouping behavior. This paper aims to address the challenge of robust bipartite flocking control for networked agents that are susceptible to actuator attacks and external perturbations. The interactions among the networked agents are represented using a signed network model, which encompasses both attractive and repulsive interactions. To begin with, distinct finite-time and fixed-time bipartite flocking control schemes are formulated, with predetermined upper bounds for the settling time of both schemes. Additionally, a nonlinear component associated with velocity alignment errors is incorporated into the flocking controller to compensate for external disturbances encountered by the agents, thereby enhancing the system’s resilience in the face of such disruptions. Furthermore, fault-tolerant finite-time and fixed-time control schemes are proposed for the agents experiencing actuator attacks, enabling the adjustment of settling times based on the actual capabilities of each agent. Finally, the effectiveness of the developed bipartite flocking control schemes for networked agents is demonstrated through some numerical simulation examples.

Suggested Citation

  • Lu, Jiaqi & Qin, Kaiyu & Li, Meng & Lin, Boxian & Shi, Mengji, 2024. "Robust finite/fixed-time bipartite flocking control for networked agents under actuator attacks and perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924001073
    DOI: 10.1016/j.chaos.2024.114556
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    References listed on IDEAS

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    1. Jiang, Xiaowei & Zhang, Ni & Li, Bo & Zhang, Xianhe, 2023. "Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    2. Parivallal, Arumugam & Jung, Yoon Mo & Yun, Sangwoon, 2023. "Dynamic event-triggered formation control for Takagi–Sugeno fuzzy multi-agent systems with mismatched membership functions," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Kim, Jong-Ho & Park, Jea-Hyun, 2020. "Complete characterization of flocking versus nonflocking of Cucker–Smale model with nonlinear velocity couplings," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    4. Kim, Jong-Ho & Park, Jea-Hyun, 2023. "Analysis of mono- and multi-cluster flocking for a nonlinear Cucker–Smale model with external force," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    5. Ma, Yajing & Li, Zhanjie & Xie, Xiangpeng & Yue, Dong, 2023. "Adaptive consensus of uncertain switched nonlinear multi-agent systems under sensor deception attacks," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
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