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mixed fuzzy
相关语句
  混合模糊
    A Study of a New Kind of Universal Mixed Fuzzy Control Principle
    一种新型的通用型混合模糊控制策略的研究
短句来源
    This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
    本文基于鲁棒神经网和混合模糊推理新概念,提出了融合的并行拓扑结构。
短句来源
  混合式模糊
    The Application of Mixed Fuzzy PID to a DC/DC Converter
    混合式模糊PID在直流变换器中的应用
短句来源
    On the basis of analyzing the theory of soft switch DC/DC converter,a method of mixed fuzzy PID control is used to control close loop output voltage of DC/DC converter in this paper.
    在分析软开关直流变换器原理的基础上 ,采用混合式模糊 PID控制方法对直流变换器的输出电压进行闭环控制。
短句来源
    The comparison is made between regular integral apart PI and mixed fuzzy PID via experiments,whose results proves that mixed fuzzy PID control has the better steady state precision and dynamic performance.
    通过实验对经典积分分离 PI和混合式模糊 PID两种方法进行了比较。 结果证明 ,混合式模糊 PID控制具有较好的动静态性能。
短句来源
  “mixed fuzzy”译为未确定词的双语例句
    A new accurately robust BP-fuzzy reasoning system for learning combination is proposed. This learning system is mainly constructed with a robust BP network with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning. The main feature of this learning system is a simple algorithm constructed from the following three parts: RBP learning algorithm, max-min fuzzy reasoning and min-max fuzzy reasoning.
    该文提出了高精度RBP-模糊推理复合学习系统.系统主要由基于鲁棒估计的鲁棒BP学习环节和基于混合合成推理的模糊推理环节构成.该学习系统的主要特点是可由鲁棒BP算法和min-max,max-min模糊推理算法简单地实现.最后通过在目标跟踪问题中应用结果,表示了该算法的高精度和鲁棒性.
短句来源
    This paper presents a mixed fuzzy PID controller for DC/DC converters. In this control method,only the output voltage of DC/DC converter needs to be measured,and then the control signal is gained from a self-adjusting fuzzy controller paralleled with an intelligent integration link.
    提出了一种用于DC/DC变换器的模糊PID混合控制策略,该方法只需测量DC/DC变换器的输出电压,然后由智能积分环节和自调整模糊控制器并联得到控制量,并且基于8位微控制器PIC16F877实现了这种控制策略。
短句来源
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A new accurately robust BP-fuzzy reasoning system for learning combination is proposed. This learning system is mainly constructed with a robust BP network with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning.The main feature of this learning system is a simple algorithm constructed from the following three parts: RBP learning algorithm, max-min fuzzy reasoning and min-max fuzzy reasoning. This learning system is applied to a target tracking problem.The results of...

A new accurately robust BP-fuzzy reasoning system for learning combination is proposed. This learning system is mainly constructed with a robust BP network with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning.The main feature of this learning system is a simple algorithm constructed from the following three parts: RBP learning algorithm, max-min fuzzy reasoning and min-max fuzzy reasoning. This learning system is applied to a target tracking problem.The results of test show that this tracking system is more accurate and more robust.

该文提出了高精度RBP-模糊推理复合学习系统.系统主要由基于鲁棒估计的鲁棒BP学习环节和基于混合合成推理的模糊推理环节构成.该学习系统的主要特点是可由鲁棒BP算法和min-max,max-min模糊推理算法简单地实现.最后通过在目标跟踪问题中应用结果,表示了该算法的高精度和鲁棒性.

The shortcoming of several universal fuzzy controlleres in China is analysed.Having the aid ofmaterial from many relevant documents and theoretical analysis,a good controlprinciple of universal mixed fuzzy control is presented.The simulation of variable industrialprocess,with different control principle,is tested,the simulation result,compared to PIDcontrol,basic fuzzy control and fuzzy control with self-adjusting factor,shOws it has fast response, no over-shoot, good robustness.

简要分析了国内已有通用型模糊控制器的不足之处,在参考、总结许多有关文献的基础上,通过理论推导,提出了一种新型的通用型混合模糊控制策略。针对具有普遍意义的热工、化工过程对象进行了仿真试验,结果表明,论文所提出的通用型混合模糊控制策略,较PID控制、基本模糊控制、自调整因子模糊控制等控制策略而言,适应面宽、系统响应快、无超调、鲁棒性强,效果是理想的。

The fusion technology of neural network and fuzzy reason has been successfully and widely used in the signal procesing and controling of nonlinear systems in recent years.This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.The fusion system faces not only non-Gaussian noise but also fuzzy signal.Experimental results are provided to indicate the performance of this fusion method in the tracking system of high frequency...

The fusion technology of neural network and fuzzy reason has been successfully and widely used in the signal procesing and controling of nonlinear systems in recent years.This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.The fusion system faces not only non-Gaussian noise but also fuzzy signal.Experimental results are provided to indicate the performance of this fusion method in the tracking system of high frequency surface wave radar.

近几年来,神经网和模糊推理融合技术成功地应用在许多非线性系统的信号处理和控制。本文基于鲁棒神经网和混合模糊推理新概念,提出了融合的并行拓扑结构。这种系统可同时处理信号的非高斯噪声和模糊性。在高频地波雷达跟踪系统中的应用实验结果表明了这种融合算法的良好性质

 
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