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目的建立一种自适应模糊神经网络控制器,并对其进行仿真研究. 方法利用模糊逻辑和神经网络进行相互补充,充分发挥各自的优点,克服其缺点,从而建立一种将模糊逻辑和神经网络相结合的控制器. 结果与结论对具有扰动和滞后的三阶对象在各种情况下进行了仿真,同时对Schiffmann控制器无法控制的情况也取得了很好的效果,结果表明所提出的控制器是有意义的.“,”Aim To build an adaptive fuzzy neural controller and simulate it. Methods Fuzzy logic and back propagation(BP) algorithm are combined to utilize their advantages while avoiding the disadvantages. Results and Conclusion Simulation results of the third-order plant with disturbances and dead times show the validity of the presented controller. The presented controller can control cases that preceding controllers were unable to control.