作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
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。
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。
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系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
该文讨论了模糊系统的数字逼近特性，同时分析了逼近误差和初始状态误差对模糊系统的影响。
In this paper, the numerical approximation characteristics of fuzzy system are discussed, and the influence of approximation error and initial state error on fuzzy system are analyzed.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
利用模糊系统具有以任意精度逼近非线性函数的能力设计FDO对未知干扰和不确定进行估计，并通过鲁棒控制项来提高系统的性能。
Thanks to the approach ability of fuzzy systems, a FDO was used to estimate the unknown disturbances and uncertainties, and the whole system performance was enhanced by a robustifying item.
根据自适应神经模糊推理系统原理，设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。
Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system(ANFIS).
提出了线性t -S模糊系统以任意精度一致逼近紧致集上任意连续实函数的一个充分条件，并给出了数值示例。
This paper presents a new sufficient condition under which the linear t s fuzzy systems can uniformly approximate any real continuous functions defined on a compact set to any degree of accuracy.
并用鲁棒控制项对模糊系统逼近误差进行补偿，减少了其对跟踪精度的影响。
A robust control term was used to compensate the approximation error of fuzzy systems, which could reduce the effect on tracking accuracy caused by the error.
近年来，各类模糊系统已被证明是万能函数逼近器，它们能实现任意的非线性连续控制规律和动态模型。
In recent years, fuzzy systems have been proved to be universal function approximators, which means they can realize any nonlinear continuous control laws and dynamic models.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
该方法综合了自适应模糊系统的逼近能力和滑模控制鲁棒性强的优点。
This method integrates the merits of approximate ability of adaptive fuzzy system and robustness of the sliding control.
模糊系统对非线性函数逼近能力的研究。
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
考虑到某些模糊系统的万能逼近能力，本文提出用模糊系统来逼近磁流变阻尼器逆模型的新思路。
The paper presents a novel train of thoughts to approach to the inverse model of the MR damper by using the universal approximation of a kind of fuzzy system.
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。
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.
针对一类非线性离散时间系统，根据模糊逻辑系统的逼近性质，给出了一种自适应模糊逻辑控制器的设计方法。
Based on the approximation capability of fuzzy logic systems, a design method of an adaptive fuzzy logic controller is given for a class of nonlinear discrete time systems.
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.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
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。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
利用模糊系统对不确定性函数进行逼近，将获得的模糊系统函数作为系统不确定性界函数。
The fuzzy system is used to approximate the system uncertain function, and the fuzzy system function obtained is taken as system uncertainty boundary function.
由于模糊系统可以作为任何非线性系统的万能逼近器，所以本文假定模糊控制可以应用到项目进度管理系统中。
This thesis makes the hypothesis that fuzzy control can also be applied to project scheduling management on the basis of fuzzy system being any nonlinear system's omnipotent simulator.
对非线性系统的任意逼近性是模糊逻辑系统能够用来辨识复杂工业过程、给出合理控制的理论依据。
That discretional close in upon nonlinear system is the theoretic gist of fuzzy logic system to identify process of complicated industry and educe reasonable control.
使用具有参数在线调节的自适应模糊控制，逼近滑模控制中的等效控制部分，并确定非线性控制项以保证系统的稳定性。
The adaptive fuzzy control with parameter online adjusting function is utilized to approach the equivalent control of sliding mode control.
分形的黑白图象和彩色图象之逼近函数可以看作一个模糊集，因此对迭代模糊集系统IFZS的研究是极有必要的。
An approximation function of the fractal image regardless of black and white or colour can be considered as a fuzzy set. So the research of iterated fuzzy set system (IFZS) is necessary.
进而运用MA TLAB的GUI工具对所建模糊模型进行了仿真检验。其结果表明，该模糊模型能很好地逼近实际系统的动态响应过程，从而可为进一步的智能优化控制工作做好铺垫。
Finally the simulation test of the fuzzy model is carried out by using GUI in MATLAB, which shows that the model can approximate very well the dynamic response process of the real system...
进而运用MA TLAB的GUI工具对所建模糊模型进行了仿真检验。其结果表明，该模糊模型能很好地逼近实际系统的动态响应过程，从而可为进一步的智能优化控制工作做好铺垫。
Finally the simulation test of the fuzzy model is carried out by using GUI in MATLAB, which shows that the model can approximate very well the dynamic response process of the real system...
应用推荐