This paper deals with event-triggered adaptive tracking control of a class of nonlinear systems with non-parametric uncertainty and unknown control input direction, in the presence of actuator faults. The proposed event-triggered control method takes advantage of the radial basis function neural networks to approximate the non-parametric uncertainties. Moreover, this control method benefits from the Nussbaum-type function-based adaptation laws for simultaneously dealing with unknown input direction and actuator faults. Numerical simulation results confirm the efficiency of the proposed control method to confront the above mentioned limitations.

中文翻译：

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存在执行器故障的一类具有非参数不确定性的非线性系统的事件触发自适应控制

本文研究了在执行器故障的情况下，一类具有非参数不确定性和未知控制输入方向的非线性系统的事件触发自适应跟踪控制。所提出的事件触发控制方法利用径向基函数神经网络来近似非参数不确定性。此外，该控制方法得益于基于Nussbaum型函数的自适应定律，可同时处理未知的输入方向和执行器故障。数值模拟结果证实了所提出的控制方法克服上述限制的效率。