This article focuses on the problem of adaptive event-triggered output feedback control for a class of uncertain nonlinear systems under the output constraint. Different from the existing works, the time-varying parameters and the global output constraint are taken into account. First, by means of multifilters, the unmeasurable state variables are reconstructed, under which the unknown time-varying parameters and sensor sensitivity are transformed into the estimation problem of unknown parameters. Second, based on a barrier function, a novel constraint algorithm is established to make the output enter into asymmetric time-varying constraint boundaries, which is independent of the initial value of the output. To avoid continuous sampling of the controller, an event-triggered mechanism is proposed without the Zeno phenomenon. By means of the Lyapunov stability theory, it is strictly proved that the output enters into the pregiven asymmetric constraint boundaries, and never exceeds. Finally, the validity of our proposed control algorithm is illustrated by a numerical simulation.

中文翻译：

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具有全局输出约束的不确定非线性系统的自适应事件触发控制的多滤波器方法。

本文重点研究输出约束下一类不确定非线性系统的自适应事件触发输出反馈控制问题。与现有工作不同，考虑了时变参数和全局输出约束。首先，通过多重滤波器对不可测状态变量进行重构，将未知的时变参数和传感器灵敏度转化为未知参数的估计问题。其次，基于障碍函数，建立了一种新颖的约束算法，使输出进入与输出初始值无关的非对称时变约束边界。为了避免控制器的连续采样，提出了一种没有 Zeno 现象的事件触发机制。借助李雅普诺夫稳定性理论，严格证明输出进入预先给定的非对称约束边界，并且永远不会超过。最后，通过数值模拟说明了我们提出的控制算法的有效性。