介绍了基于修正因子模糊数模型的模糊控制算法在柴油机调速技术上的应用。
The application of the control algorithm based on modifying factor fuzzy model to a diesel engine is introduced.
提出了目标系数模糊型模糊关系线性规划问题，这是传统模糊关系线性规划的扩展。
We present fuzzy relation linear programming with fuzzy objective coefficient, this programming is expand to conventional fuzzy relation linear programming.
针对常规pid控制器在水轮机调速器不能在线进行参数自整定的问题，结合模糊控制技术，提出了PID参数模糊(FUZZY)自整定。
Aiming at the problem that conventional PID controller of water turbine regulator can not on_line identify and decide parameter itself, FUZZY PID is proposed by combining with FUZZY control technique.
在模糊控制器中又通过自调整修正因子模糊数模型的在线插值方法提高了控制器规则的自调整功能。
And in the fuzzy controller on-line interpolation of the self-tuning gene fuzzy model is employed to improve the self-adjusting abilities of the control rules.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
PID参数模糊自整定系统主要由参数可调整PID控制器和模糊控制器两部分组成。
The fuzzy self-tunning PID control system consists of two parts which are parameter adjustable PID system and fuzzy control system.
本文主要是通过研究PID控制器参数模糊自整定方法，设计了一种模糊pid控制器。
In this paper, a self-tuning Fuzzy-PID controller is developed through the research of PID controller parameters self-tuning method.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
在回顾了大多数模糊性的信息熵度量定义之后，首次定义了模糊互熵和信息传输指数等新概念。
Most of existing fuzzy information entropy definitions are reviewed before fuzzy mutual entropy and information transmission index are introduced for the first time.
在回顾了大多数模糊性的信息熵度量定义之后，首次定义了模糊互熵和信息传输指数等新概念。
Most of existing fuzzy information entropy definitions are reviewed before fuzzy mutual entropy and information transmission index are introduced for the first time.
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