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列车
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  train
    Variable Structure Controller of the MAGLEV Train
    磁浮列车的变结构控制器设计
短句来源
    The Learning Algorism of Neural Networks and Its Application in Train Control
    神经网络学习算法及其在列车控制中的应用
短句来源
    Train Sginal Computer Simulation in the Railway Infrared Axle Temperature Monitoring System
    红外轴温监测系统中列车信号的计算机模拟
短句来源
    Microcomputer Controlled Variable Frequency Speed Control System of Train Fan Machine
    微机控制列车风扇交流电机的变频调速系统
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    Architectures of Automatic Train Operation Control Systems Based on Fuzzy Logic and Neural Networks
    基于模糊逻辑及神经网络的列车自动运行控制系统方案
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  “列车”译为未确定词的双语例句
    A Scheme of ATO System Based on Predictive Fuzzy Control and Its Simulation
    预测型模糊控制列车自动运行系统方案及其仿真
短句来源
    Guidance Control Research of Module Structure EMS Maglev Vehicle
    模块结构EMS型磁浮列车的导向控制研究
短句来源
    On the basis of, some direct-control neurons are added to the FNN, and then a new FNN model is produced which is named as ZFNN.
    在此基础上,结合列车运行安全控制的实际情况,加入直控神经元,构造了直控模糊神经网络控制(ZFNN)模型来保证控制系统符合故障-安全原则。
    Fault tolerant control problem of the suspension system is discussed with methods of control strategy reconstruction and state observer, based on the single-iron model. Furthermore. the simulated analysis is done with the designed fault tolerant controller and state estimator by the soft of Simulink.
    磁浮列车悬浮系统的传感器故障会导致列车运行性能的降低甚至造成悬浮系统的失效.高速磁浮列车尤其如此.针对单铁悬浮系统的模型,从控制律重构和状态观测器的角度,研究了列车悬浮系统的容错控制问题.结合设计的容错控制器和状态观测器.利用Simulink进行了仿真分析.
    Control Model for Trainsin Centralized Traffic System of a Steel Corporation
    钢厂铁水运输集中区列车控制模型的研究
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  train
After feature tagging they are used to train the maximum entropy model.
      
The other involved the adoption of multistep predictive cost energy to train the weights of the decoupling controller.
      
Using the method for calculating the transmission ratio of planet gear train, the relationship of the two oscillating angle between output axis and the bracket is established.
      
To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN).
      
Dynamic response of a long span suspension bridge and running safety of a train under wind action
      
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In this paper, decoupled control problem of the magnetic suspension test vehicle model is discussed. On the basis of analysing the vehicle dynamic model, a decoupled control system is realized with signal transformation technique. The poles of the closed loop system are assigned for the decoupled control system according to the specification requirements. The feedback matrix F is given by state feedback. Applying theorem of the dynamic compensator proposed by Pearson, the compensator is designed. Practical problems...

In this paper, decoupled control problem of the magnetic suspension test vehicle model is discussed. On the basis of analysing the vehicle dynamic model, a decoupled control system is realized with signal transformation technique. The poles of the closed loop system are assigned for the decoupled control system according to the specification requirements. The feedback matrix F is given by state feedback. Applying theorem of the dynamic compensator proposed by Pearson, the compensator is designed. Practical problems for the realization of magnetic suspension control system are investigated.

本文主要讨论磁悬浮实验列车模型的解耦控制问题.在分析列车动力学模型的基础上,利用信号变换技巧,实现了系统的解耦,对解耦系统根据性能要求配置了闭环系统的极点,通过状态反馈给出了反馈阵F,应用Pearson动态补偿器理论设计了补偿器,研究了磁悬浮控制系统的具体实现问题.

In order to study random vibration and running smoothness of logging trailer-truch this paper puts forward a kind of computer simulating method for calculating the random vibrations. Based on five inputs and ten degrees of freedom, a mathematical model of tree-lehgth logging trailertruck is set up. Simulating calculations about a tree-length logging trailer-truck, model LT-110+GT15C, are carried out with the IBM computer. The results of field test correspond with that of theoretical calculations. Therefore,...

In order to study random vibration and running smoothness of logging trailer-truch this paper puts forward a kind of computer simulating method for calculating the random vibrations. Based on five inputs and ten degrees of freedom, a mathematical model of tree-lehgth logging trailertruck is set up. Simulating calculations about a tree-length logging trailer-truck, model LT-110+GT15C, are carried out with the IBM computer. The results of field test correspond with that of theoretical calculations. Therefore, the mathematical model advanced in this paper can be used to predict the running smoothness and optimize structural parameters of tree-length logging trailer-truck as well.

本文从研究运材汽车列车的随机振动和行驶平顺性出发,提出一种运材汽车列车随机振动的计算机模拟方法,将运材汽车列车简化为十自由度五点输入的数学力学模型。以LT-110+GT15C型运材汽车列车为研究对象,在IBM计算机上进行了模拟计算。通过实地试验表明,模拟计算结果和实测结果能较好的吻合,因此该数学模型可用来预测运材汽车列车的行驶平顺性,以及运材车辆结构参数对行驶平顺性的影响,也可对运材汽车列车结构参数进行优化设计。

The fuzzy multiobjective optimal control(FMOC) is proposed to control complex processes with high quality, FMOC, which consists of fuzzy multiobjective predictive control(FMPC) and adaptive fuzzy multiobjec-tive predictive control(AFMPC), can not omy embody the multiobjectivencss of the human controller but also reflect the influence of his psychological process on his control behavior. FMOC controls the process based on the synthetical evaluation of the control objectives concerned. FMOC has been used to the...

The fuzzy multiobjective optimal control(FMOC) is proposed to control complex processes with high quality, FMOC, which consists of fuzzy multiobjective predictive control(FMPC) and adaptive fuzzy multiobjec-tive predictive control(AFMPC), can not omy embody the multiobjectivencss of the human controller but also reflect the influence of his psychological process on his control behavior. FMOC controls the process based on the synthetical evaluation of the control objectives concerned. FMOC has been used to the automatic train control and its feasibility and superiority have been proved by the simulation results.

本文提出了对复杂过程进行高质量控制的模糊多目标优化控制(FMOC),它由两部分组成:模糊多目标预测控制(FMPC)和自适应的模糊多目标控制(AFMPC)。FMOC不仅能体现操作人员控制行为的多目标性,而且还能反映其心理过程对控制行为的影响,它基于对控制目标的全面评价来实现对过程的控制。将FMOC用于列车运行控制的仿真,结果证明了它的适用性。

 
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