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针对具有不确定开环增益的被控对象,提出了PID自适应调整控制器增益的神经元非模型控制方法,对某造纸机进行了实例仿真研究,结果表明,非模型控制方法具有强的鲁棒性和满意的控制品质“,”The neuron model-free control method with the adaptive gain regulated by the PID algorithm is proposed in this paper to control plants with an uncertainopen-loop gain. The simulation results of a paper-machine show that this neuron model-free controller is strong both in adaptability and robustness.