The sufficient conditions of asymptotic stability and stability with decay rate for the closed loop systems via fuzzy state feedback controller are presented.
给出了设计模糊状态反馈控制器，保证闭环系统全局渐近稳定、具有一定衰减率稳定的两个充分条件；
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。
By studding the initial state of washer, the fuzzy controller automatically adjust and select the appropriate zero point of detecting cloth weight, and correct the judgment parameter of water level.
模糊控制器通过对洗衣机初始状态的学习，自动调整并选择合适的布量检测零点，修正水位判定参数。
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。
A sufficient condition is derived for the existence of passive state feedback controller for T-S fuzzy systems with time-delay.
针对时滞t - S模糊系统，给出了使得系统无源的状态反馈控制器存在的充分条件，与现有结果相比保守性更小。
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 paper analyzes the cause of bad steady state accuracy existed in common fuzzy controller, and puts forward a scheme with mathematical method to improve steady state accuracy of fuzzy controller.
文章分析了常规模糊控制器存在稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
Based on the instantaneous state of vehicle, the fuzzy logic controller is built aiming to get minimum fuel consumption.
以整车瞬时状态为基础，燃油消耗最小为目标，建立了模糊控制器。
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。
This paper analyses the cause of a low steady-state accuracy rising from a fuzzy controller, and thus puts forward an interpolation method to upgrade its steady-state accuracy.
本文分析了常规模糊控制器存在的稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。最后给出的仿真试验结果证明这种方法是有效的。
This paper analyses the cause of a low steady-state accuracy rising from a fuzzy controller, and thus puts forward an interpolation method to upgrade its steady-state accuracy.
本文分析了常规模糊控制器存在的稳态精度差的原因，提出一种用数学方法改进模糊控制器稳态精度的方案。最后给出的仿真试验结果证明这种方法是有效的。
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