The emphasis is placed on the design of the fuzzy controller, the method of determining system′s gain parameter and the method of realizing BP neural network.
重点研究了模糊控制器的设计、系统增益参数的确定方法和BP神经网络的实现方法。
It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller's design.
该方法利用数据融合技术降低了模糊控制器的输入维数，简化了模糊控制器的设计。
It describes the fuzzy PID-type controller design of the alkali boiler water level, the build of 2-d control table, the realization of the computer design and simulation of the controller.
以碱回收炉的水位控制为例具体论述调整系统控制量的模糊pid控制器的设计、2 - D控制表的建立、以及控制器计算机设计与仿真的实现。
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