在此基础上，构造出了模糊控制器的输入输出语言变量值的隶属度函数和模糊控制规则。
So the membership function of input and output lingual variables and control rules are formed in this thesis.
所以，本论文最后采用了遗传算法对输入输出语言变量的隶属函数进行优化以改善模糊控制器的性能。
So, at last, Genetic Algorithms are capitalized on to optimize the membership functions of the input and output linguistic variables of the fuzzy controller so as to better its performance.
针对球磨机系统的多变量及非线性等特点，本文对球磨机系统进行对象特性分析，进行了模糊控制器的设计，并在PL C上采用结构化文本语言编程实现。
For the multivariable and nonlinear characteristics of ball mill system, analyzed the characteristics of objects, and designed fuzzy controller, which is realized on PLC using st programming language.
采用具有层次结构染色体编码方式的遗传算法来设计模糊控制器，实现了语言控制规则的自动生成和隶属函数参数的自动整定。
By using the genetic algorithms with hierarchical chromosome structures, rule generation and para - (meter) tuning of the fuzzy controller can be achieved simultaneously.
在仿真例子中，对存在某些语言规则和不存在任何语言规则的控制器进行比较，当控制器利用了模糊规则后，控制性能明显提高。
In a simulation example, a comparison between the controller with some fuzzy rules and the one without any fuzzy rule is given. When the controller USES fuzzy rules, the performance improved markedly.
在仿真例子中，对存在某些语言规则和不存在任何语言规则的控制器进行比较，当控制器利用了模糊规则后，控制性能明显提高。
In a simulation example, a comparison between the controller with some fuzzy rules and the one without any fuzzy rule is given. When the controller USES fuzzy rules, the performance improved markedly.
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