This paper studies fuzzy adaptive dynamic surface control strategy for nonlinear system with sampled data and time-varying input delay. By utilizing the approximated property of fuzzy logic systems (FLSs), a fuzzy estimator (FE) model is designed to identify the states of the original system, which is mainly used to provide information of estimation states to replace the sampled data of the nonlinear controlled system. In the proposed strategy, with the help of sampled-data activity, an integral term is designed to compensate the problem of time-varying input delay. Moreover, by invoking the dynamic surface control (DSC) technique, the problem of ‘explosion of complexity’ has been overcame. And the developed control strategy demonstrates that all signals of the controlled system are semi-globally uniformly ultimately bounded (SGUUB). Ultimately, two numerical simulation examples are given to prove the feasibility of the developed control method and theory.

研究具有采样数据和时变输入时滞的非线性系统的模糊自适应动态表面控制策略。利用模糊逻辑系统（FLSs）的近似特性，设计了模糊估计器（FE）模型来识别原始系统的状态，该模型主要用于提供估计状态的信息来代替非线性受控系统的采样数据。系统。在所提出的策略中，借助采样数据活动，设计了一个积分项来补偿随时间变化的输入延迟问题。此外，通过调用动态表面控制（DSC）技术，克服了“复杂性爆炸”的问题。并且所开发的控制策略表明，受控系统的所有信号都是半全局一致的最终有界（SGUUB）。最终，