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。
A fuzzy model-free adaptive control method is presented in this paper.
根据无模型自适应技术的特点，提出了一种模糊无模型自适应控制方法。
The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification.
过程的模糊模型和逆模糊模型均可由模糊辨识获得。
Finally, this method was used to construct the fuzzy model of economic growth of China.
采用这种方法构建我国经济增长的模糊模型。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
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。
Here, two kinds of fuzzy models are under consideration: type-1 fuzzy model and type-2 fuzzy model.
在这里，主要考虑两种类型的模糊系统模型：类型1模糊模型和类型2模糊模型。
Based on fuzzy model, the interaction balance method can find better solution with fewer iterations.
基于模糊模型，关联平衡算法能找到使目标函数更小的解，并且迭代次数更少。
Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.
而模糊模型、预测控制在这些问题上具有各自的优势。
The research of structural reliability includes randomness model, fuzzy model, non-probabilistic model.
结构系统可靠性研究分随机模型、模糊模型和非概率模型。
Two important issues about the fuzzy model for the predication behavior of complex systems are discussed.
并探讨了模糊辨识方法在预测复杂系统行为方面的两个重要问题。
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。
TSK fuzzy controller based on TSK fuzzy model with nonlinear controller assures the stability of closed loop system.
所设计的TSK模糊控制器是一个基于TSK模糊模型的非线性控制器，能保证闭环控制系统的稳定性。
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。
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。
The nonlinear system is described based on HM model. The global fuzzy model has been translated into the system with uncertainties.
采用HM模型描述非线性系统，并将全局模糊系统模型表示成不确定系统形式。
Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system.
然后本文提出了一种称为二进网络的全新神经网络，和一种称为二进模糊系统的全新模糊系统。
This paper discusses the fuzzy model reference adaptive control strategy on fuzzy model reference in ABS (Anti-lock Braking System).
本文主要研究了在汽车防抱死制动系统(abs)中基于滑移率的模糊模型参考自适应控制策略。
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。
Based on the nonlinear fuzzy model, an improved method of detecting rotor position for sensorless control of SRMs has been developed.
提出了一种基于非线性模糊模型的开关磁阻电机(SRM)转子位置检测的方法。
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。
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 author thinks that thestateof mine ventilation quality can be objectively, systematically and completely described by the fuzzy model.
通过讨论认为，采用模糊模型能客观系统全面地反映矿井通风质量的状况。
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。
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。
According to the basic theory of fuzzy model recognition and expert system, this paper develops a recognizing approach to fuzzy expert system.
文章依据模糊模式识别和专家系统的基本原理，研制出一类模糊专家系统的判识方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
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。
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。
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