现代计算机技术、电源技术与模糊控制理论等，为智能充电系统的研究提供了新的技术手段。
Modern computer technique, power supply technique and fuzzy control theory provide new technical method for research of intelligent charging system.
以碱回收炉的水位控制为例具体论述调整系统控制量的模糊pid控制器的设计、2- D控制表的建立、以及控制器计算机设计与仿真的实现。
It describes the fuzzy PID-type controller design of the alkali boiler water level, the build of 2-d control table, the realization of the computer design and simulation of the controller.
本文将模糊控制与专家系统结合起来，提出了专家自适应模糊控制器，并将其应用于500MW机组仿真机锅炉水位控制中。
Combining fuzzy control with expert system, author presents an expert adaptive fuzzy controller and its application for a 500mw power plant boiler water level control.
在对焊点质量与焊接过程中信息的盒维数统计物理关系的分析基础上建立了基于模糊控制理论的焊点质量判定系统。
The qualitative judgment system based on fuzzy control was built after analyzing the relation between quality of spot welding and the box fractal dimension of signals in spot welding.
智能电弧炉是应用神经网络模型与数字模型、专家系统、模糊技术等结合起来控制冶金过程。
Intelligence arc furnace, which makes use of neural network model and numerical model, combines expert system and fuzzy technology, can control the metallurgical quality.
第四章探讨了自适应模糊控制系统的设计与稳定性分析方法。
In chapter 4, design and stability analysis methodologies of adaptive fuzzy control system are discussed.
从质子交换膜燃料电池(PEMFC)实际应用的角度出发，应用自适应模糊神经网络技术对PEMFC系统进行建模与控制。
From practical application, adaptive fuzzy identification and control models of proton exchange membrane fuel cell (PEMFC) were developed based on input-output sampled data and experts' experience.
模糊逻辑是处理非精确输入与系统非线性的强有力处理方法，便于迅速开发鲁棒性控制系统。
Fuzzy Logic is a powerful processing methodology that easily accommodates imprecise input data and system nonlinearities for rapid development of robust control systems.
该模糊控制方法可以在线自适应调整模糊控制的有关参数，较好地解决了汽车半主动悬架系统存在的非线性与不确定性问题。
This method of adaptive fuzzy control can tune the parameters of controller on-line. These questions of nonlinear and uncertainties about vehicle semi-active suspension systems are well solved.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
本文在前馈式智能模糊控制系统原型的基础之上，对该系统的各个组成部分进行详细的研究与设计。
On the base of feed-forward intelligent fuzzy logic control system prototype, this paper performs particular research and design to each constituent of this system.
对一类非线性系统进行简化处理，将系统在平衡点处进行线性处理，在此基础上提出了一种基于模糊控制与改进型PID控制的混合控制算法。
This paper is devoted to discussion of a new control method based on the combination of fuzzy control and improved PID control, after simplifying the non-linear systems at its equilibrium point.
仿真结果表明，与传统PID控制系统及单纯模糊控制系统相比，两种控制系统相结合可以得到更佳的控制效果。
The simulation results illustrate this type of composite control system is with better qualities than those of single fuzzy controller and single PID controller.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
模糊pid控制系统就是模糊理论与传统的PID控制器的结合。
Fuzzy PID control system is the combination of fuzzy theory and PID controllers.
解决了基于新型分类装置的分拣系统控制模型的建立与实现，运用模糊逻辑控制实现了分拣系统的智能控制。
Also, model of sorting system with this new sorting device is established and intelligent control to the sorting system is realized based on fuzzy logic control.
讨论了模糊pid控制器的设计方法，同时利用MATLAB软件中的模糊控制工具箱进行了系统的辅助设计与仿真实验。
A designing method of fuzzy PID controller is given, then an example of how to design and simulate the system by using the software MATLAB is introduced.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem on uncertain nonlinear systems with input and state time delay was discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem of a class of uncertain nonlinear systems with input and state time delay is discussed.
最后给出系统结构图和程序流程简图，并将模糊控制运行曲线与前馈-反馈控制运行曲线进行了比较。
The diagram of system structure and the simplified program flowchart are given. In addition, the operational curves of both fuzzy control and feedforward feedback control are compared.
本文最后设计了直升机模糊pd轨迹跟踪控制器，与姿态角控制器相结合，完成对整个飞行控制系统的设计。
Finally, the dissertation designed the fuzzy PD controller of trajectory tracking, which is combined with attitude Angle controller, so that the whole flight controller is completed.
而模糊系统是用一个与输入、输出及控制项有关的模糊关系矩阵来描述的。
While a fuzzy system is described by a fuzzy relational matrix corresponding to the fuzzy input, the fuzzy output and the fuzzy controller.
本文主要研究和设计了冷轧带钢电解清洗线上刷辊马达电流负荷控制的模糊控制系统并做了建模与仿真。
This paper mainly researches and designs fuzzy control system used in brush roll motor current load control and establishes its object model successfully used in simulation in the lab.
使用反馈线性化与改进的模糊控制方法设计飞机纵向自动着陆控制系统。
The control system for longitudinal automatic landing of an aircraft was designed with the methods of feedback linearization and improved fuzzy control.
本文介绍了微机模糊控温系统。阐述了模糊控制器的原理与设计。给出了实验结果和结论。
This paper introduces a temperature fuzzy control system of electric furnace. The basic theory design method and experimental results of fuzzy controller are described.
把模糊控制与PID控制的特点相结合，利用模糊控制规则在线对PID控制器的参数进行调节，使系统性能得以改善。
Characteristics of fuzzy control and PID control are combined; regulation of fuzzy control is used for adjusting parameters of PID controller online, making brake performance improve.
本文介绍了增量式模糊控制(ifc)的原理与设计思想，指出IFC是FC系统实现渐近稳定控制的有效方法。
This paper introduces the principle and design thought of Incremencal Form Fuzzy control (IFC) and points out that IFC is an effective method for Fuzzy System to realize asymptotic stability control.
本文介绍了增量式模糊控制(ifc)的原理与设计思想，指出IFC是FC系统实现渐近稳定控制的有效方法。
This paper introduces the principle and design thought of Incremencal Form Fuzzy control (IFC) and points out that IFC is an effective method for Fuzzy System to realize asymptotic stability control.
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