Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.

在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。

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That the easy realization in applications of traditional PSD algorithm combine with the advantages of neuron network for model free control, is a good method for the plant having uncertainty model.

传统的PSD算法所具有的易于工程实现的特点和神经网络在非模型控制上所具有的优势，二者的结合对模型不确定性对象的控制是一个好的方法。

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Furthermore, various kinds of PSD network controller were compared in this paper, and the advantage of PSD network algorithm was analyzed in theory.

并比较了现有的几种PS D网络控制器的结构特点，从理论上阐述了PS D网络算法的优势所在。

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