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将单个神经元控制方案用于电厂热工过程进行仿真研究．研究结果表明，这种控制方案在被控对象主要时间常数和系统采样周期大幅度变化的工况下．仍具有强鲁棒性；控制器参数的整定比传统的ＰＩ控制更为简单、方便．
A single neuron control scheme is used in thermal simulation of power plant. The results show that this control scheme is under the condition that the main time constant of the controlled object and the sampling period of the system vary greatly. It still has strong robustness. The tuning of controller parameters is more simple and convenient than the traditional PI control.