This article addresses the finite-time event-triggered adaptive neural control for fractional-order nonlinear systems. Based on the backstepping technique, a novel adaptive event-triggered control scheme is proposed, and finite-time stability criteria are introduced with the aim to ensure that the tracking error enters into a small region around the origin in finite time. Finally, the stability of the closed-loop system is ensured via a fractional Lyapunov function theory and two simulation examples were used to prove the validity of the designed control scheme.

中文翻译：

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基于有限时间方案的分数阶非线性系统的事件触发自适应神经控制。

本文讨论分数阶非线性系统的有限时间事件触发自适应神经控制。基于后推技术，提出了一种新颖的自适应事件触发控制方案，并引入了有限时间稳定性准则，以确保跟踪误差在有限时间内进入原点周围的一小区域。最后，通过分数Lyapunov函数理论确保了闭环系统的稳定性，并通过两个仿真实例证明了所设计控制方案的有效性。