This study investigated a novel adaptive output feedback control scheme for non-strict feedback nonlinear systems with uncertainties, disturbances, and asymmetric time-varying output constraints. Because that the states of the system are unmeasurable, we used an adaptive fuzzy state observer to obtain the estimated values of the states. To make the output and tracking error satisfy their asymmetric time-varying constraints, an asymmetric time-varying barrier Lyapunov function was adopted. To overcome the “explosion of complexity” problem, we also adopted the dynamic surface control technology. The stability of the closed-loop system was proved by the Lyapunov method, and we give two simulation examples to show the effectiveness of the proposed control method.

本研究针对具有不确定性，干扰和不对称时变输出约束的非严格反馈非线性系统，研究了一种新颖的自适应输出反馈控制方案。因为系统的状态是无法测量的，所以我们使用了自适应模糊状态观察器来获取状态的估计值。为了使输出和跟踪误差满足其非对称时变约束，采用了非对称时变势垒Lyapunov函数。为了克服“复杂性爆炸”的问题，我们还采用了动态表面控制技术。通过Lyapunov方法证明了闭环系统的稳定性，并给出了两个仿真例子来说明所提出的控制方法的有效性。