本文提出一种更适用于一阶系统的模型跟随自适应控制算法。通过适当选择系统的状态表示,使系统的输出和它的状态同一,因而不用构造系统的状态;通过利用参考模型输出的先验值,减少了需在线计算的控制器参数。仿真和实验表明,当被控过程存在模外动态和输出干扰时,该算法仍具有较高的控制精度。 In this paper, we propose a model-following adaptive control algorithm that is more suitable for first-order systems. By properly selecting the state representation of the system, the output of the system is the same as its state, so that the state of the system is not constructed; the controller parameters that need to be calculated online are reduced by exploiting the a priori output of the reference model. Simulation and experiment show that the proposed algorithm still has high control accuracy when there is out-of-die dynamic and output disturbance in the controlled process.