This paper proposes an observer-based fuzzy controller for strict-feedback nonlinear systems. A fuzzy state observer is designed to estimate unmeasurable system states via a fuzzy logic system to approximate the unknown nonlinear functions of the system. A tangent prescribed performance function is utilized to gather the tracking error in a small neighborhood of the origin. The control input is designed to deal with the dead-zone property of the system. The proposed controller can guarantee that all the signals in the closed-loop system are semi-globally, uniformly, and ultimately bounded. Simulation results demonstrate the effectiveness of the proposed controller.

本文针对严格反馈非线性系统提出了一种基于观测器的模糊控制器。模糊状态观察器被设计为通过模糊逻辑系统估计不可测的系统状态，以近似系统的未知非线性函数。切线规定的性能函数用于在原点的较小邻域中收集跟踪误差。控制输入​​旨在处理系统的死区属性。所提出的控制器可以保证闭环系统中的所有信号都是半全局的，统一的并最终是有界的。仿真结果证明了所提出控制器的有效性。