A new way to analyze stability issues of T-S fuzzy system based on observers is investigated.
提出了一种新的基于观测器的T S模糊系统稳定性分析方法。
The fuzzy dynamic observer diagnosis method is proposed for the T-S fuzzy system with unknown inputs and multiple faults.
研究了T S模糊系统中存在未知输入、多重故障时的诊断问题，提出了基于动态模糊观测器的诊断方法。
In this paper, we will study the nonlinear approximation of a kind of nonlinear T-S fuzzy system, and prove that when the fuzzy sets are Gaussian membership functions, it has universal approximation.
本文将对一类非线性t - S模糊系统的非线性逼近能力进行研究，证明这种模糊系统在输入模糊子集为高斯型隶属函数的情况下，具有通用逼近性。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
The nonlinear systems have been described into T-S fuzzy dynamical models, and the global fuzzy models have been translated into the system with uncertainties.
将非线性系统用t - S模糊动态模型描述，并将全局模糊系统模型表示成不确定系统形式。
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。
T-S fuzzy control system based on asymptotic tracking control is designed for a MIMO nonlinear boiler-turbine system whose parameters vary under the operating condition within wide range.
针对多输入多输出非线性锅炉-汽机系统在大范围运行工况下参数发生变化的情况，设计了基于渐近跟踪控制的T - S模糊控制系统。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Noise canceling by using fuzzy inference system is studied. A kind of nonlinear noise cancellation algorithm based on T-S fuzzy model is proposed.
对模糊推理系统在噪声消除中的应用进行了研究，提出了一种基于T - S模糊模型的模糊非线性噪声消除算法。
Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.
为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T - S模型提出一种自组织模糊辨识算法。
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。
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。
T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.
对非线性系统建立T-S模糊模型，并用正交最小二乘法（OLS）对模糊规则的后件参数进行辨识。
This paper presented a new approach for sensor fault detection and isolation in a t s fuzzy system with Gaussian white noises.
提出了一种传感器故障诊断的新方法，适用于高斯白噪声下的T S模糊系统。
Discrete chaotic system is described based on T-S fuzzy models, and the system is exchanged into local linear model with fuzzy method.
采用T - S模糊模型描述离散混沌系统，将离散混沌系统模糊化为局部线性模型。
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。
This compensate structure based on rules is another unique advantages of T-S fuzzy model when it is used to describe a system.
这种基于规则的补偿结构也是用t - S模型描述系统的时候具有独特的优点。
Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.
采用T - S模型，由后件网络动态调整模糊规则，提高控制系统的适应性。
An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.
用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。
The stabilization criteria for nonlinear time-delay system described by fuzzy T-S model are proposed on (condition) that the time-delay is precisely available via memory state feedback strategy.
基于记忆型状态反馈策略，首先给出由T - S模糊模型描述的非线性时滞系统在时滞精确已知情况下的鲁棒镇定准则；然后给出非线性时滞系统在时滞未知情况下的鲁棒自适应控制策略。
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。
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。
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。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
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