基于模糊语言控制规则描述的模糊控制，已成功地用于工业过程控制并具有广泛的应用前景。
The fuzzy control based on the control rule described by the fuzzy language, has been successfully used in the industry control process and has an extensive foreground of application.
基于模糊语言控制规则描述的模糊控制，已成功地用于工业过程控制并具有广泛的应用前景。
The fuzzy control which is based on the control rule described by the fuzzy language, has been successfully used in the industry control process and has the extensive foreground of application.
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.
模糊集合理论是一种具有处理语言信息能力的控制理论。
Fuzzy set theory is a processing language information capacity of control theory.
模糊语言是模糊控制的理论基础。
模糊控制以语言控制规则实现其推理过程，属于典型的非线性控制。
Fuzzy controller practice the reasoning process by language control rules, it has typical nonlinear characteristic.
运用了基于MATLAB (SIMULINK)语言的模糊控制系统工具箱，通过对发电机输出电压模糊控制的实现提供一种仿真方法。
The paper applies the fuzzy control system toolbox based on MATLAB (SIMULINK) language, through the application of the electrical generator output voltage fuzzy control, supplies a simulation method.
模糊控制是以模糊集合、模糊语言变量和模糊逻辑推理为基础的计算机数字控制技术。
Fuzzy control is a kind of computer digital control technique, which is based on the fuzzy sets, fuzzy language variable and fuzzy logic reasoning.
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.
模糊控制是以模糊集合论、模糊语言变量及模糊逻辑推理为基础的一种计算机数字控制技术。
Blurring control is a kind of computer digital controlling technology on the basis of blurring set theory, blurring language variable and blurring logical inference.
自然语言中某些单词、词组等通过模糊集合的描述和模糊推理转换成计算机可以接受的数学模型，就可以实现计算机控制。
Through description of fuzzy set and fuzzy deduction, some words and phrases from natural language can be transfered into mathematical models acceptable to the computer to realize computer control.
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.
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.
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.
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.
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