The fuzzy control rules are produced in a self organizing way.
模糊控制规则以自组织的方式产生。
The knowledge acquisition and fuzzy control rules were discussed emphatically.
着重讨论了知识的获取及模糊控制规则。
The fuzzy control rules are established according to the physical movement law.
根据小球的物理运动规律，建立了模糊控制规则。
This paper proposes a new method to learn fuzzy control rules using adaptive neural element.
本文给出了利用自适应神经元学习、修改模糊控制规则的新方法。
We also propose novel ideas in optimizing the fuzzy control rules, using genetic algorithms.
在此基础上提出了采用遗传算法对压实参数模糊控制规则进行优化的新思路。
A whole set of fuzzy control rules by analysing the actual data knowledge base have been set up.
通过对实际数据的分析，获得了完整的模糊控制规则集。
The expression of fuzzy logic system is combined with the list of fuzzy control rules in this paper.
将粗糙集理论与模糊逻辑技术相结合，提出了一种通过测量数据来获取模糊控制规则的方法。
Combined with the study of constant force grinding, a self-study method on fuzzy control rules in grinding process is suggested.
结合恒力磨削的研究，提出了一种基于磨削数据的模糊控制规则学习方法。
Combining rough set theory with fuzzy logic technology, this paper has presented a method of gaining fuzzy control rules based on measured data.
将粗糙集理论与模糊逻辑技术相结合，提出了一种通过测量数据来获取模糊控制规则的方法。
In this paper, fuzzy PI control is introduced into the governor of hydro turbines and different fuzzy control rules are suggested for different processes.
本文提出把模糊pi调节用于水轮发电机组的调速器，并研究发现不同的过程有不同的模糊控制规则。
Since the fuzzy observer has a strong subjectivity in fuzzy control rules, self-learning fuzzy velocity observer is produced to present detailed algorithm process.
由于模糊观测器的模糊控制规则主观性较强，因此设计自学习模糊速度观测器，并给出了详细的算法和流程。
Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal.
采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
Using membership function of fuzzy set, fuzzy condition sentence and fuzzy control rules, the fuzzy controller completes the control of the first-order linear delay system.
利用模糊集合的隶属度函数，模糊条件句和模糊控制规则，实现对一阶线性时滞系统的控制。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The author describes the fuzzy control towards high pressure air valve in raw coal separation system, including fuzziness of input, setting up of fuzzy control rules and certainty of outputs.
论述了如何对原煤分选系统中的高压气阀进行模糊控制，其中包括输入量模糊化、模糊控制规则的建立及输出量的清晰化。
The author describes the fuzzy control towards high-pressure air valve in raw coal separation system, including fuzziness of input, setting-up of fuzzy control rules and certainty of outputs.
论述了如何对原煤分选系统中的高压气阀进行模糊控制，其中包括输入量模糊化、模糊控制规则的建立及输出量的清晰化。
Also the paper introduces the indoor lighting control system and its operating principle, as well as the method of self - adaptive fuzzy control based on fuzzy control rules and its application.
介绍室内采光控制系统及工作原理，基于模糊控制规则的自适应模糊控制方法及其应用。
It is important to structure the fuzzy rules store in the fuzzy control system.
在模糊控制系统中，模糊规则库的构建是至关重要的。
Computer fuzzy control with control table may reduce the level of memory size and computing speed. Control table can be off-line gained by fuzzy rules.
通过控制表实现计算机模糊控制，可以降低对计算机内存容量和速度的要求，控制表根据人们对控制对象的认识和操作经验确定的模糊控制规则离线处理。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
Automatic generation of fuzzy rules is a key technique in fuzzy control.
模糊规则自动生成是模糊控制的关键性技术之一。
Fuzzy controller practice the reasoning process by language control rules, it has typical nonlinear characteristic.
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。
A new fuzzy control approach for fuzzy production rules with uncertainties is presented in the paper.
本文提出一种考虑模糊产生式规则具有不确定因素的模糊控制方法。
The intelligent method based on performance feedback and parameter self-tuning controller based on rules have been proposed, which simplify the design of intelligent fuzzy control algorithm.
提出了性能反馈的智能控制方法和基于规则的控制器参数自调整机制等智能控制策略。并简化了智能模糊控制算法的设计。
We propose the design method of model reference self organizing fuzzy logic controller, and construct its fuzzy logical control rules in this paper.
提出了模型参考自组织模糊逻辑控制器的设计方法，并建立其模糊逻辑控制规则。
Fuzzy control was based on rules base, and gave control decisions with absolute or increment form.
模糊控制基于规则库，并以绝对或增量形式给出控制决策。
Fuzzy control was based on rules base, and gave control decisions with absolute or increment form.
模糊控制基于规则库，并以绝对或增量形式给出控制决策。
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