基于这些概念的模糊系统具有可理解性。
Base on these concepts, the fuzzy systems are interpretable.
研究不确定动态模糊系统的稳定性问题。
The stabilization of uncertain dynamical fuzzy systems is studied.
模糊系统对非线性函数逼近能力的研究。
在模糊环境下的优化向来是模糊系统理论的中心课题之一。
Optimization in a fuzzy environment has long been a topic in the development of fuzzy system theory.
初步调试表明，采用这种模糊系统进行在线检测控制是可行的。
The result showed that the control system was feasible for on line measuring.
提出一种利用非单点模糊系统建模的短波通信频率参数预测模型。
This paper presents a prediction model of frequency parameters of short-wave communication based on non-singleton fuzzy system.
本文针对TS模糊系统提出一种模糊子集和模糊规则的合并算法。
In this paper, merging algorithms of fuzzy subsets and rules are proposed to deal with ts fuzzy systems.
模糊拟阵是将“模糊”概念引入拟阵理论而开创的一种新的模糊系统。
Fuzzy matroid is a new fuzzy system originated with the introduction of notion 'fuzzy' into the theory of matroid.
本研究是以复杂生产过程为背景，在模糊系统优化领域开展的专项研究。
Taking complex industry process control as background, this research focuses on optimization problems of fuzzy systems.
提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
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。
This paper discusses the problems of robust local stability and robust local stabilization of T-S fuzzy systems.
而模糊系统是用一个与输入、输出及控制项有关的模糊关系矩阵来描述的。
While a fuzzy system is described by a fuzzy relational matrix corresponding to the fuzzy input, the fuzzy output and the fuzzy controller.
利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
对模糊系统标准可加性模型SAM进行研究，就其模型中的集合函数进行分析。
This paper studies the addition model SAM in fuzzy system standard and analyzes the set function in the model.
对可加性模糊系统的标准可加性模型进行研究，用标准可加性模型进行函数表达。
The paper is focused on studying the standard additive model of an additive fuzzy system, and function representations with the standard additive model.
在被调整模糊系统基础上，提出了一种非线性系统在线估计参数的在线辨识算法。
Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized.
所以，研究模糊系统的稳定性关键之一在于研究模糊关系矩阵的幂序列的收敛性。
So, to study the convergence of powers of a fuzzy matrix is one of keys to study the stability of a fuzzy system.
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.
这里介绍了遗传模糊系统的各种模型和应用领域，分析了此领域的研究方向和趋势。
It gives a brief introduction to models and applications of genetic fuzzy systems, and analyses the directions and trends of research on fuzzy systems.
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.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
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.
模糊系统广泛应用于控制、信号处理、通信、集成电路、专家系统、医药、行为科学等领域。
Fuzzy system is broadly used in the fields of control, signal process, communication, integrated circuit, Expert system, medical diagnosis and behavior science.
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.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
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。
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.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
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。
Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
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