查询词典 fuzzy-brained

Following that, we implement the algorithms of FOC, space vector pulse-width modulation, and speed control using the digital signal processor. Regarding to the influence of controller parameters on dynamic response of the motor speed, this thesis proposes the speed control of PMSM using self-tuning fuzzy technique. By the self-tuning technique, the on-line fuzzy logic controller output can give better speed response under the load disturbances or variable speed commands.

本文首先使用数位讯号处理器完成磁场导向控制、空间向量脉波宽度调变及速度控制之策略，针对控制器参数对系统动态响应之影响，提出采用自调式模糊控制器於速度控制回路，藉由自调式机制，线上调整模糊控制器之参数，使PMSM在变动负载及速度命令下有较佳之动态响应，达到提升系统响应及强健性之目的。

Based on analysing the respective characteristics of regular PID controller in trational control theory and fuzzy logical controller in intelligent control theory, the idea and technique of expert system is introduced to develop a novel kind of hybrid intelligent controller. It can coordinate two kinds of control algorithms and tune the control parameters on-line for different working zones of the controlled process.(3) The hybrid knowledge expression model, which combines discrete state space model, fuzzy relational model and rule base model, is proposed based on analysing the characteristics of all kinds of knowledge expression models. The knowledge of the controlled process in different aspects can be expressed resonably by it. Based on the model mentioned above, the related optimization strategy for complex system is developed.

本文的主要贡献体现在：（1）以炼油厂的催化裂化装置和钢铁联合企业的大型焦炉装置两个典型的复杂工业过程为例，分析了工业大系统的许多不易控制的特性，并归纳了其中的几个典型特征；（2）针对经典控制理论中的常规PID调节器和智能控制技术中的模糊逻辑控制器各自的特点，通过引入专家系统的思想和方法，开发了一类混合式专家控制器，它同时具备在线协调两种不同控制规律和自动学习控制规则的能力；（3）通过分析各种知识表达模型的特点，提出了一类包括离散状态空间模型、模糊关系模型和规则基模型在内的混合知识表达模型，它能对过程知识在各个不同侧面给予合理的描述。

The research for the fuzzy number valued functions is one of the basic content of fuzzy analysis, and the discuss...

模糊分析学是模糊数学的重要分支，是实分析和复分析以及随机分析理论的自然推广和完善。

According to the one-level Fuzzy Evaluation Model, Multilevel Fuzzy Synthesis Evaluation Model of network security has been provided.

通过单因素模糊评价，给出了多级模糊综合评价模型。

According to actual characteristics of wood drying, this thesis proposes a new intelligent PID coefficient adjusting method based on existing neural network model. The method combines fuzzy control with PID control to construct a fuzzy adaptive PID controller, which realizes optimum control of system.

针对实际干燥过程的特性，本文在课题前面工作所做的神经网络模型的基础上提出一种智能的PID参数整定方法，即将模糊控制和PID控制结合起来，构建模糊自适应PID控制器。

First, based on the mathematics model of comprehensive decision at present, the concept of evaluation function is introduced. Based on the thinking stability of decision-maker, the essential meaning of comprehensive decision model is discussed, therefore, and a new improved approach on the comprehensive decision model is put forward. Second, the mathematics model of interval number comprehensive decision is systematically discussed, and the ranking method of interval number based on the decision-maker's attitude is provided. Finally, the concept of valuation order relation is introduced, the valuation order relation of interval number and fuzzy number are systematically discussed in detail, it provides a new method to research the order relations of interval number and fuzzy number, therefore, these achievements can be applied in the intelligent system.

首先，针对常用的综合决策模型，给出了评判函数的概念，讨论了综合决策模型的本质意义，指出决策者的思维应具有稳定性，从而给出了综合决策模型的一种改进方法；第二，在此基础上，给出了区间数的综合决策模型，并详细讨论了基于决策者的决策心态的区间数的排序方法；第三，引入了赋值序关系的概念，详细讨论了区间数和模糊数的赋值序关系，为区间数和模糊数的序关系研究提供了新的思路与方法，这些均有望在智能系统中得到广泛的应用。

First of all, Fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.

首先 ，基于正交最小二乘方法分析模糊模型的模糊关系矩阵。

In addition, the conclusion parameters of fuzzy model are confirmed by the orthogonal least square in order to optimize the structure and the parameters of fuzzy model.

另外 ，再次通过正交最小二乘方法确定模糊模型的结论参数，实现模糊模型结构和参数的优化。

We study the properties of $BR_0$-algebra and the total complication triple I method on complete $BR_0$-algebra, and we apply the results to $R_0$-Unite interval $\overline{W}$. Not only we have simplified the proof of the results of $R_0$-type triple I method on $R_0$-Unite interval $\overline{W}$, but also we make the proof to combine with the formal deductive system for fuzzy propositional calculus. This work also explains that the $R_0$-type triple I method is a matching fuzzy inference with $B{\cal L}^*$ system.

研究了基础$BR_0$-代数的性质和基于完备基础$BR_0$-代数的全蕴涵三I算法，对一般蕴涵算子给出了三I算法解存在的一个充分条件，并将结果应用于$R_0$-单位区间$\overline{W}$，不但极大的简化了$R_0$-单位区间$\overline{W}$的$R_0$-型$\alpha$-三I算法结果的证明，而且使其证明过程与相应的模糊命题演算系统结合起来，说明了$R_0$-型三I算法是与$B{\cal L}^*$系统相匹配的模糊推理方法。

In the system of high precision and low speed, Because of the existence of the nonlinear friction, the static and dynamic performance of the servo system is very bad, such as stick slip, hunting, large error and so on, Because the traditional control of PID is hard to solve the nonlinear problem of the servo system, so this paper begins to introduce a new control method which is named adaptive fuzzy PID, It utilizes the rule of the fuzzy control to adjust the parameter of proportion, integral and differential on line, So this control method has some intelligence to improve the static and dynamic performance of the servo system.

在高精度、超低速伺服系统中，由于非线性摩擦环节的存在，使系统的动态及静态性能受到很大程度的影响，主要表现为低速时出现爬行现象，稳态时有较大的静差或出现极限环振荡；由于传统的PID 控制很难解决伺服系统中的非线性问题，因而不能适用于高精度、超低速伺服系统；本文通过引入模糊自适应整定PID控制，利用模糊规则在线调整比例、积分、微分环节，使系统具有一定的智能，从而非常明显的改善伺服系统的静态及动态性能。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。