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<p>This paper investigates the problem of containment control (CC) for fractional-order heterogeneous nonlinear multi-agent systems (FOMAS) subject to mixed time-varying delays, input saturation constraints, and malicious false data injection (FDI) attacks. The control framework is developed within a leader-follower configuration, where an intelligent attacker injects time-varying and deceptive signals into the communication channels between agents, thereby disrupting coordination. To address the challenges posed by input constraints and communication corruption, a novel distributed control strategy is proposed. This strategy integrates a fuzzy logic-based distributed state observer with an adaptive distributed feedback controller for each follower agent. The design ensures robustness against nonlinearities, delays, and adversarial interference. The stability and convergence of the closed-loop system are rigorously analyzed using a carefully constructed Lyapunov-Krasovskii functional, which accommodates the fractional-order dynamics and delay characteristics. Finally, numerical simulations are presented to demonstrate the effectiveness and resilience of the proposed control approach under various adverse scenarios.&#xa0;</p>

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Resilient Fuzzy Adaptive Control of Fractional-Order Multi-agent Systems Under Input Constraints and Cyber Attacks

  • 期刊论文

  • 发表日期：

    2026年3月25日

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  • Kang Xu,
  • Fareeha Sadaf,
  • Azmat Ullah Khan Niazi,
  • Fathia Moh. Al Samman,
  • Mohammed M. A. Almazah,
  • Aseel Smerat

摘要

This paper investigates the problem of containment control (CC) for fractional-order heterogeneous nonlinear multi-agent systems (FOMAS) subject to mixed time-varying delays, input saturation constraints, and malicious false data injection (FDI) attacks. The control framework is developed within a leader-follower configuration, where an intelligent attacker injects time-varying and deceptive signals into the communication channels between agents, thereby disrupting coordination. To address the challenges posed by input constraints and communication corruption, a novel distributed control strategy is proposed. This strategy integrates a fuzzy logic-based distributed state observer with an adaptive distributed feedback controller for each follower agent. The design ensures robustness against nonlinearities, delays, and adversarial interference. The stability and convergence of the closed-loop system are rigorously analyzed using a carefully constructed Lyapunov-Krasovskii functional, which accommodates the fractional-order dynamics and delay characteristics. Finally, numerical simulations are presented to demonstrate the effectiveness and resilience of the proposed control approach under various adverse scenarios.