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 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。
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。
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。
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。
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。
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。
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。
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。
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。
LMI design method for mean square stabilization of a class of nonlinear stochastic systems with time-delay based on the T-S fuzzy model is introduced.
提出了一类基于T - S模糊模型的非线性时滞随机系统均方镇定的LMI通用设计方法。
Based on T-S fuzzy model, a fuzzy output feedback guaranteed cost control problem is studied for a class of uncertain discrete-time systems with multiple time delays.
针对一类用t - S模糊模型描述的多时滞离散不确定系统，研究了其输出反馈保性能鲁棒控制问题。
Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.
对各方程序卡尔曼滤波，通过T - SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
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。
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。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
Variable parameter PID control for the controlled object is designed by the method of segment linearization. Furthermore, T-S model based fuzzy PID control strategy is put forward.
通过分析被控对象的特性，采用分段线性化的方法设计变参数PID控制器，进而给出基于T-S模型的模糊PID控制策略；
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于T S模型的自适应神经模糊推理系统(ANFIS)建模方法。
T s fuzzy control model is established. It has gained favorable control effect for the hydraulic pressure set with nonlinear characteristic.
建立了T - S模糊控制模型，对于具有非线性特性的液压执行机构，控制效果良好。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
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