The simulation results show that fuzzy control systems which are designed based on the stability have not only good dynamic and steady state feature but also strong rejection ability to disturbances.
并进行了仿真研究，结果表明，基于稳定性而设计的模糊控制系统不仅具有良好的动态及稳态的性能，而且具有很强的抗扰能力。
Response speed has been improved by both the state machine, which makes discrete detection on load, and current limit fuzzy control.
通过状态机对负载进行离散侦测以及电流极限模糊控制模式，提高了电源的响应度；
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.
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。
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.
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。
A fuzzy state feedback tracking control scheme was proposed for the medium-speed pulverizers (MSP) in power plants.
针对电站中速磨的控制难题，提出了一种模糊状态反馈跟踪控制方案。
A new fuzzy PID control algorithm based on PID engineering state methods is proposed in this paper. Experimented and simulation results show that the algorithm proposed has good performances.
提出一种基于工程状态的自适应模糊pid控制算法，仿真和实验表明，具有简单、控制品质优良等特点。
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。
The strategy consists of control strategy of grinding without empty travel, fuzzy control strategy of grinding with constant power, and state monitoring control strategy of grinding wheel.
该策略由无空程磨削控制策略、恒功率磨削模糊控制策略、砂轮状态监控控制策略三部分组成。
For the dynamic model of inverted pendulum system, adopted fuzzy control method, the T-S fuzzy controller based on the state feedback was designed.
针对倒立摆系统动态模型，采用模糊控制方法，设计基于状态反馈的T - S型模糊控制器。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
And adopting the method in which including periodical detecting and local detecting of gap discharge state, the servo feed control-system based on fuzzy control technology was designed.
在此基础上，采用控制周期总体间隙状况和局部短路的伺服控制策略，建立了基于模糊控制技术的回转式电火花展成加工伺服进给控制系统。
Global exponential stability of fuzzy control systems with delays is studied, a nonlinear state feedback controller is designed to ensure the global exponential stability of the closed-loop system.
针对模糊时滞系统，设计了非线性状态反馈控制器以确保闭环系统全局指数稳定。
The fuzzy control is used to ensure the dynamic response speed of the position servo system, and the integral control is used to ensure its steady-state performance.
在系统的动态过程中，利用模糊控制的快速响应能力保证位置随动系统具有较快的动态响应速度；
The steady state control adopts three-level control mode, including fuzzy control, decoupled coefficient control and target optimization control.
稳态控制采用三层控制方式，将控制分为模糊回路控制层、解耦系数控制层和目标优化控制层。
The fuzzy variable structure sliding model control provides rapidity and stability for tracking, while PI control eliminates steady-state vibration and improves steady-state accuracy.
模糊变结构滑模控制提供了跟踪的快速性和稳定性，PI控制则消除稳态抖动，提高了稳态精度。
The experiment results indicates that fuzzy control has a fast response speed, a good steady state precision and a strong anti-interference.
实验结果表明，模糊控制在响应速度、抗干扰性等方面都具有较好的性能。
Based on existing static error when the system is in steady-state, the fuzzy control thought paralleled integrator is proposed.
针对系统达到稳态时，模糊控制存在稳态静差这一缺陷，提出了带积分器的模糊控制思想。
The result of experiment shows that this method eliminated steady state error of the system inherently, and improved performance of steady state of fuzzy control system.
实验结果表明：此方法能从本质上消除系统的稳态误差，明显地改善了模糊控制系统的稳态性能。
Variable power displacement; Fuzzy reasoning; Judgment of running state; Identification of driver's intention; Control technology; Application.
变工作排量；模糊推理；行驶工况判断；驾驶员意图识别；控制技术；应用。
The results show that the steady-state errors of Fuzzy PID-Type Controller of Adjusting System Control Quantity fluctuate is less, so it is obviously better than fuzzy control.
结果显示，调整系统控制量的模糊PID控制稳态误差小，控制效果明显优于模糊控制算法。
And fuzzy control can be well adapted to parameter variation while the steady-state error is inevitable.
模糊控制能够很好地适应参数变化，却不可避免稳态误差的存在。
According to the deferent error hierarchy of the output variables, the hierarchical fuzzy control and the steady state output is switched over.
根据输出变量的不同误差等级进行分级模糊控制和稳态值输出切换，以便在直线电机位置控制中的不同阶段采取不同的控制模式。
Fuzzy PI control includes fuzzy control and traditional of PI control, so the system has better response time, steady-state accuracy and stability.
模糊pi控制将模糊控制和传统PI控制相结合，使系统具有更好的响应速度、稳态精度和稳定性。
Base on the detailed analysis to response state of PID control, the technology of fuzzy control and table the arithmetic of fuzzy-PID control was applied, which preferably satisfied control request.
在对PID控制的响应特性进行详细分析的基础上，应用模糊控制技术，提出并设计了模糊-PID控制器，较好的满足了控制要求。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
By means of an identified adaptive neural fuzzy inference system (ANFIS) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(ANFIS)模型，进行了静态空燃比前馈控制仿真。
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