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This paper investigates a zeroing neural dynamics-based fault-tolerant sliding mode controller that ensures fixed-time synchronization for morphing aircraft systems. The designed controller works depending on a Zeroing-Neural-Dynamics (ZND) based error dynamics and the defined activation function. First of all, the auxiliary function is constructed depending on the error design formula. Then, the sliding surface functions are defined in such a way that the system’s response becomes rapid in the presence of both small and large errors. Further, depending on the error dynamics, a projective synchronization condition is obtained that is used for Lyapunov analysis to show fixed-time convergence. Finally, the efficiency of the designed controller is verified by conducting numerical simulation results.

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ZNN-Based Fixed-Time Projective Sliding-Mode Control for Morphing Aircraft Under Actuator Faults

  • 会议论文

  • 发表日期：

    2026年

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  • Kuntal Dhara,
  • Hasanur Jaman,
  • Santanu Mandal

摘要

This paper investigates a zeroing neural dynamics-based fault-tolerant sliding mode controller that ensures fixed-time synchronization for morphing aircraft systems. The designed controller works depending on a Zeroing-Neural-Dynamics (ZND) based error dynamics and the defined activation function. First of all, the auxiliary function is constructed depending on the error design formula. Then, the sliding surface functions are defined in such a way that the system’s response becomes rapid in the presence of both small and large errors. Further, depending on the error dynamics, a projective synchronization condition is obtained that is used for Lyapunov analysis to show fixed-time convergence. Finally, the efficiency of the designed controller is verified by conducting numerical simulation results.