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针对火电单元机组，提出了多变量模糊神经元协调控制方法。该方法是在静态解耦系统的每一对输入／输出通道上设置一个由模糊控制器和神经元控制器复合而成的非模型控制器，以提高控制系统的鲁棒性和控制精度。对某单元机组的实例仿真研究表明：这种新的多变量非模糊控制方法具有很强的鲁棒性和抗干扰能力及满意的控制品质。控制器的设计非常简单，可方便地用于工程实践。
For the unit of thermal power unit, a multi-variable fuzzy neuron coordinated control method is proposed. In this method, a non-model controller composed of a fuzzy controller and a neuron controller is provided on each pair of input / output channels of the static decoupling system to improve the control system’s robustness and control precision. The simulation study of a unit unit shows that this new multivariable non-fuzzy control method has strong robustness, anti-interference ability and satisfactory control quality. The design of the controller is very simple and can be easily used in engineering practice.