Local stability of T-S fuzzy systems is analyzed.
针对t - S型模糊系统进行局部稳定性分析。
This paper focuses on the T-S fuzzy model with time delay.
研究一类用t - S模糊模型描述的不确定时滞系统问题。
The robust control for T-S fuzzy descriptor systems with time-delay is discussed.
研究T-S模糊广义时滞系统的鲁棒控制问题。
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 T-S fuzzy model was adopted for fuzzy modeling of the large-scale systems with time-delay.
针对状态可测的一类连续非线性时滞大系统的鲁棒分散控制问题，采用T-S模型对其进行建模。
A variable structure control method based on T-S fuzzy neural network (FNN) is brought forward.
提出基于T - S模糊神经网络的变结构控制方法。
The design algorithm of constructing stabilizing control is proposed for a class of T-S fuzzy models.
针对一类T - S型模糊模型，给出一种设计镇定控制器的方法。
T-S fuzzy model's rules also can be used to describe a static forecast gainer or a dynamic compensator.
一个T-S模型规则库也可以用来描述一个静态预测增益器或动态补偿器。
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。
This paper discusses the problems of robust local stability and robust local stabilization of T-S fuzzy systems.
研究一类不确定t - S模糊系统的鲁棒局部稳定及鲁棒局部镇定问题。
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。
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。
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。
Secondly, the consequent parameters of rules are calculated by the least squares estimate. Thus, the T-S fuzzy model is set up.
然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。
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。
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 T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
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。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
提出一类基于T S模糊模型的非线性随机系统均方镇定的线性矩阵不等式(LMI)设计方法。
Through practical applications, the proposed adaptive control technique based on T-S fuzzy model is successful for time-varying systems.
通过实际应用案例表明，提出的基于T - S模型的自适应控制技术在时变系统中是成功的。
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。
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。
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。
A new fuzzy adaptive control method based on a T-S fuzzy model is proposed for the nonlinear and time-variant navigation systems of sailboats.
针对非线性、时变的帆船航行系统，提出了一种基于T - S模糊模型的帆船模糊自适应控制新方法。
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。
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。
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。
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。
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。
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