介绍了一种基于趋势分析和模糊理论的控制技术在电网削峰填谷、最大需量控制领域的应用，简述了其控制工作原理、运行规则和系统组成。
A control technology based on trend analysis and fuzzy theory was presented and its application in peak clipping, valley filling and maximum demand control area of the power network was introduced.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
结果证明，采用基于专家规则的模糊控制算法对于这种非线性、不确定的大惯性系统有着良好的控制效果。
It proves that the fuzzy controller based on the rules of experts is effective on the nonlinear, indefinite and inertial system.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
讨论了模糊系统的输入模糊集、模糊规则及自适应规则产生的方法，基于模糊集合的无线通信控制器设计。
The input fuzzy set, fuzzy rule and adaptive rule are discussed, and the wireless communication controller based on fuzzy set is designed.
然后将基于改进后的模糊规则建立的模糊控制器应用到纯时间滞后系统的控制中。
Then the fuzzy controller based on the improved fuzzy table-rotating optimization is designed and applied to the open-loop systems with pure time delay.
在选定数据集上的仿真实验数据表明，提出的方法可以明显提高基于加权模糊产生式规则的专家推理系统的泛化能力。
Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability of the FPR-based expert systems.
利用传统的基于模糊推理或规则匹配的专家系统对其进行入侵检测已不能满足系统的实时性和准确度要求。
Simply use the traditional technique based on fuzzy reasoning or expert system in intrusion detection system can not satisfy real-time and accuracy requirements.
设计与分析了交流伺服系统FZ - PID的复合控制原理，针对阀值切换所存在的缺陷提出了一种基于模糊规则切换的复合控制器。
The paper designs and analyzes the compound control principle of the AC servo system. To against the shortage of the common FZ-PID controller, a complex controller with fuzzy switch is proposed.
基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
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。
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.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
应用推荐