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。
In this paper, T-S fuzzy controller is applied to the single inverted pendulum system, which illustrate effectiveness of the stability design method.
同时给出t - S模糊控制器应用于单倒立摆系统的一个实例，并用文中的稳定性分析方法分析它的系统稳定性。
An inverted pendulum example of non-fragile controller design of uncertainty T-S fuzzy systems shows the feasibility and the effectiveness of the method.
通过对一级倒立摆的不确定模糊非脆弱控制器设计的实例，表明了设计方法的可行性和有效性。
The problem of quadratic stability and controller design for T-S fuzzy systems is studied using the linear matrix inequality(LMI)methods.
应用LMI（线性矩阵不等式）方法，研究了T-S模糊系统二次稳定性及控制器设计问题。
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。
The emphasis is placed on the design of the fuzzy controller, the method of determining system′s gain parameter and the method of realizing BP neural network.
重点研究了模糊控制器的设计、系统增益参数的确定方法和BP神经网络的实现方法。
As for a class of T-S fuzzy descriptor systems with norm-bounded uncertainties, the design problem of observer-based passive fuzzy controller was studied.
针对一类范数有界不确定性t - S模糊广义系统，研究了其在满足不确定性的基于观测器的无源控制器的设计问题。
Based on 2 norm estimate of matrix, stability of T S type fuzzy controller is studied and several sufficient conditions of open loop system are proposed .
利用矩阵的谱范数估计，研究了连续T-S型模糊控制器的稳定性，给出模糊开环系统稳定的充分条件。
A novel fuzzy logic controller based on T-S model is proposed for automatic generation control (AGC) system after deregulation.
本文针对解除管制后的自动发电控制系统(agc)提出了一种新颖的基于T - S模型的模糊逻辑控制器。
A new design scheme of adaptive fuzzy controller is proposed based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov s second method.
基于模型参考自适应模糊控制和李亚普诺夫第二方法，提出了一种自适应模糊控制器设计的新方案。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A design of T-S model based fuzzy controller for nonlinear system with uncertain time-delay was proposed.
讨论了一类由T - S模糊模型表示的不确定时滞非线性系统的模糊控制器设计问题。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
The experiment proved that system' s performance could be improved by the appliance of parameters self-adjusting fuzzy controller.
在焊缝跟踪中采用参数自整定模糊控制可以明显改善系统的性能。
This paper introduces the control theory of excitation controller via T-S fuzzy model about single-machine infinite-bus power system.
研究了基于T - S模糊模型控制理论下单机-无穷大电力系统的励磁控制设计。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
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