• 采用模糊动态模型连续时间非线性系统进行了模糊控制

    An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model.

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  • 采用模糊动态模型研究范围非线性系统适应模糊控制问题。

    The adaptive fuzzy control for nonlinear systems with large working range and high order is studied by using fuzzy dynamic models.

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  • 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.

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  • 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.

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  • 采用模糊动态模型逼近混沌非线性系统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.

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  • 采用模糊动态模型逼近非线性混沌系统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.

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  • 采用模糊动态模型逼近非线性混沌系统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.

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  • 采用T - S模糊动态模型描述非线性系统非线性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.

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  • 非线性系统t - S模糊动态模型描述全局模糊系统模型表示成确定系统形式。

    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.

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  • 基于模糊动态模型研究非线性系统稳定控制问题全局模糊系统模型表示成不确定系统形式。

    The stable problem of nonlinear systems is studied based on fuzzy dynamical model, and the global fuzzy model is translated into the system with uncertainties.

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  • 研究非线性系统稳定控制问题,采用模糊动态模型方法全局模糊系统模型表示成不确定系统形式。

    The stable problem of nonlinear system was studied. Fuzzy dynamical models were used, and the global fuzzy models were translated into the system with uncertainties.

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  • 本文运用模糊系统理论建立主动模糊动态模型,设计半主动悬架模糊控制系统,车辆悬架参数优化、半主动悬架试验进一步的研究探讨。

    In the paper, system modeling and control of semi-active suspension based on fuzzy theory, optimization of suspension parameters, and experiment of semi-active suspension are researched further.

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  • 仿真研究表明SVM具有优良模型辨识能力,基于模糊控制补偿的支持向量机逆控制系统动态性能、跟踪精度高、鲁稳定性强。

    Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.

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  • 非线性动态过程建模中,融入了模糊逻辑和局部线性模型

    Fuzzy logic and local linear models are employed for modeling a non-linear dynamic process.

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  • 水资源系统模糊优化多维动态规划模型水资源系统优化研究中的一个重要课题

    It is a key problem to study the fuzzy optimizing multi-dimensional dynamic programming model for water resources systems.

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  • 进化聚类算法(ecm)为基础提出了一种新的T - S动态模糊推理模型建模算法

    On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.

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  • 提出一种新的动态模糊自组织神经网络模型(TGFCM),并将其用于文本聚类中。

    This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.

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  • 近年来,各类模糊系统证明万能函数逼近器,它们实现任意非线性连续控制规律动态模型

    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.

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  • 本文试图标枪技术教学手段进行动态多维模糊数学分析综合评判在此基础上进行最佳程序教学模型设计

    This paper, by analyzing means of javelin skill teaching, by dynamic, multi-dimensional, fuzzy mathematics analysis and synthetic evaluation, designs and tries preferred process teaching model.

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  • 模型求解问题,本文采用模糊数学动态规划法、最路方法整数规划法等多种方法进行深入的研究。

    For seeking a method to solve the model, it introduced blur math method, dynamic programming method, the way of optimization and integer programming method etc.

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  • 采用T - S模型网络动态调整模糊规则提高控制系统适应性

    Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.

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  • 针对非线性、变量耦合系统,提出基于动态t - S模糊模型的约束控制策略。

    Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.

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  • 针对这一特点,介绍采用实时模糊定时控制交叉口多相位信号进行动态控制系统,并提出了一种改进的单交叉口多相位信号实时配时模型

    According to the characteristics, one kind of system was described that used real-time fuzzy and the timed control to carry out the dynamic control of the multiphase signal of isolated intersection.

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  • 提出一种新的基于移动检测技术神经网络模糊判断方法城市路网动态交通拥挤预测模型

    A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.

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  • 结合主观信任协作模型,引入模糊理论提出了基于模糊聚类信任类型动态定义机制,各主体之间的信任评估提供了依据

    Based on the theory of fuzzy clustering and subjective trust coordination model, the paper proposes dynamic definition of trust class, which provides the basis of trust evaluation between entities.

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  • 利用模糊数学模式识别理论以及动态聚类方法等提出堤防工程安全评估专家主观客观赋权模型

    To evaluate embankment safety, this paper constructs the models obtaining subjective and objective weight of experts with the methods of fuzzy mathematics, pattern recognition and dynamic clustering.

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  • 模型通过模糊综合评价计算静态权重应用心理学指数模型计算动态权重,计算结果为船舶提供了有效过坝综合权重

    With fuzzy comprehensive evaluation to calculate the static weight, and the psychological exponential model to get the dynamic weight, the result of the model can provide effective ship weights.

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  • 模糊模型用于描述对象非线性动态特性通过模糊模型输出反馈回来作为模型输入,从而构成了模糊多步预报器。

    T_S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi_step fuzzy predictor is derived.

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  • 分析了循环流化床锅炉结构与工艺特点结合循环流化床锅炉动态数学模型,提出采用模糊控制广义预测控制相结合的控制思路。

    The dynamic properties of the circulating fluidized bed boiler were analyzed to develop a new control system based on fuzzy control theory and generalized forecast control theory.

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  • 分析了循环流化床锅炉结构与工艺特点结合循环流化床锅炉动态数学模型,提出采用模糊控制广义预测控制相结合的控制思路。

    The dynamic properties of the circulating fluidized bed boiler were analyzed to develop a new control system based on fuzzy control theory and generalized forecast control theory.

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