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<p>This paper investigates the problem of adaptive event-triggered control (ETC) for complex systems with full state constraints and dead-zone input. To address the challenges posed by state constraints, a control framework is developed by integrating the barrier Lyapunov function (BLF) with the backstepping method. Through the co-design of the dead-zone inversion technique, variable substitution approach, and an event-triggered mechanism (ETM) based on a relative threshold strategy, the adverse effects of dead-zone input are effectively eliminated. Notably, the proposed adaptive ETC framework guarantees the boundedness of all closed-loop signals, improves tracking performance, and reduces network communication overhead. A numerical example is provided to demonstrate the feasibility and effectiveness of the control scheme.</p>

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Adaptive Event-triggered Control of Complex Systems With Full State Constraints and Dead-zone Input

  • 期刊论文

  • 发表日期：

    2025年8月13日

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  • Xinrui Ma,
  • Cheng Tan,
  • Hongtao Sun,
  • Ziran Chen

摘要

This paper investigates the problem of adaptive event-triggered control (ETC) for complex systems with full state constraints and dead-zone input. To address the challenges posed by state constraints, a control framework is developed by integrating the barrier Lyapunov function (BLF) with the backstepping method. Through the co-design of the dead-zone inversion technique, variable substitution approach, and an event-triggered mechanism (ETM) based on a relative threshold strategy, the adverse effects of dead-zone input are effectively eliminated. Notably, the proposed adaptive ETC framework guarantees the boundedness of all closed-loop signals, improves tracking performance, and reduces network communication overhead. A numerical example is provided to demonstrate the feasibility and effectiveness of the control scheme.