系统核心是基本模糊控制器和模糊专家决策规则。
The core of the system is basic fuzzy controller and fuzzy expert decision making rule set.
本文通过对基本模糊控制器的分析，给出了一种自适应模糊控制器的设计方法。
This paper presents a design method of self-adaptive fuzzy controller by the analysis to the basic fuzzy controller.
本文首先分析基本模糊控制系统存在稳态误差的根本原因，然后有针对性地引入两种插值方法对基本模糊控制器进行改进。
First, this paper analyses the essential cause why a basic fuzzy control system has steady-state error, then incorporates interpolation technique to improve basic fuzzy controller.
该方法利用参数调整控制器在线自动修正基本模糊控制器的量化因子和比例因子，从而改善基本模糊控制器对任意设定气压的控制性能。
The properties of the basic fuzzy controllers can be improved through compiling S-function that automatically corrects the quantizing factors Ke and Kc , as well as proportional factor Ku.
对基于模糊控制的电压无功控制的基本模糊控制器设计方法进行了探讨，并指出了今后模糊控制理论在电压无功综合控制方面的应用方向。
The design methods of basic fuzzy control for FVQC is introduced, and the foreground of fuzzy control theory application in VQC in the future are also pointed out.
本文在应用了基本模糊控制器对结构模型控制之后，对原来的模糊控制器进行了改造，即对关键的三个因子进行自动的调整，构成自调整因子模糊控制器。
After using fuzzy method to control the model, this dissertation tries to improve the fuzzy controller, that to automatically adjust three key factors to consist adjust factor fuzzy controller.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
介绍了均匀设计的基本原理及其在模糊控制器的量化因子和比例因子优化设计中的应用方法。
The basic principle of uniform design and its application in the optimal design of the quantifying factors and the scale factor of a fuzzy controller are introduced.
然后介绍了模糊控制系统的概念、基本控制思想，简述了模糊控制器的设计方法，给出了模糊控制系统的一般模型。
Then it introduces the concept of fuzzy control system and basic control ideas, and demonstrates the design approaches of fuzzy controller, and gives the general model of fuzzy control system.
在介绍模糊控制基本原理的基础上，设计了一种适用于利用视觉导引的移动机器人路径跟踪系统的模糊控制器。
The basic principle of fuzzy control is introduced, and a fuzzy controller fitting for vision -guided mobile robot's road following system is designed.
文中首先对模糊控制和遗传算法的基本原理进行了介绍和探讨，内容主要包括：模糊控制的数学基础、常规模糊控制器的设计、遗传算法的基本操作以及模式理论等。
Firstly, fuzzy control and GA is introduced and discussed, such as the Mach base of fuzzy control, the design of conventional fuzzy controller, the basic operation of GA and schemata theory and so on.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
本文主要介绍了一种温度模糊控制器的基本设计思想，并说明了整个系统的工作原理。
This text introduced primarily the basic design of the misty controller in a kind of temperature thoughts, and explained the work principle of whole system.
介绍了模糊自适应PID控制器的基本原理，建立了TIG逆变电源外特性控制的模糊自适应pid算法。
In this paper, the basic principle of fuzzy adaptive PID controller is stated and a fuzzy adaptive PID algorithm based on static characteristics control in TIG welding power inverter is built up.
该策略是建立在用基本样条函数实现BLDCM模糊神经网络速度控制器新方法基础之上。
This strategy absorbs a basic sample function to implement the fuzzy neural network speed controller.
详细地介绍了利用软件进行模糊逻辑控制系统设计的基本原理以及模糊控制器的软件程序设计方法。
The paper introduced the composing and working principle in detail. The way of designing and programming of Fuzzy Logic control sys - tem is also presented in detail in the paper.
针对这个问题 ，将仿人智能控制与模糊控制相结合 ，提出了一种仿人智能模糊控制器 ，给出了该控制器的基本结构、控制算法和仿真结果。
Since AMB has the characteristics of non-liner, time-variable and complex couple, this paper proposed biotic intelligence PID control method and simulated the system with Simulink successfully.
针对这个问题 ，将仿人智能控制与模糊控制相结合 ，提出了一种仿人智能模糊控制器 ，给出了该控制器的基本结构、控制算法和仿真结果。
Since AMB has the characteristics of non-liner, time-variable and complex couple, this paper proposed biotic intelligence PID control method and simulated the system with Simulink successfully.
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