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控制器网络
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  controller network
     By using CS1-series PLC DeviceNet field bus locale controller network, through Ethernet communication , Controller Link network communication , transducer communication and protocol macro communication between locale controller and serial device, the locale equipments real time control is achieved.
     使用CS1系列PLC的DeviceNet现场总线结构的控制器网络,通过以太网通信、Controller Link网络通信、变频器通信以及区域控制器与现场串口通信设备的协议宏通信实现了控制系统对现场设备的实时控制。
短句来源
     The controller network adopts OMRON Controller Link structure and realizes at low cost a flexible data link and data sharing among SYSMAC products, SYSMAC and upper computer.
     控制器网络层采用了OMRON的Controller Link网络体系结构,以低成本实现了SYSMAC同类产品之间或SYSMAC与上位计算机之间灵活的数据链接及数据共享功能。
短句来源
     Programmable Logic Controller Network System and its Application
     可编程控制器网络系统及其应用
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     The applicatin of embedded system BL2000 controller network and Dynamic C language are studied in detail.
     文中详细研究了嵌入式系统BL2 0 0 0控制器网络应用和DynamicC语言。
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     Considering an actual engineering project, the paper briefs the structural design questions for BAS on a metro station such as the controller, network, control cabinets distribution and so on.
     结合实际工程项目,对车站BAS结构设计中的控制器,网络及控制箱分布等问题作简要分析。
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  “控制器网络”译为未确定词的双语例句
     A New Gain-Scheduling Controller Based on AVSC and FLCN
     一种新的基于AVSC与模糊局部控制器网络的增益调度控制器(英文)
短句来源
     The neural networks NNM and NNC used for identifier and controller is trained off line using Genetic Algorithm, and on line using BP Algorithm, respectively.
     用GA离线辨识网络NNM ,在此基础上用BP算法在线训练控制器网络NNC .
短句来源
     The VC-based Application of Multi-axis Motion Controller in Network
     基于VC的多轴运动控制器网络控制应用
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     The structure of the network is determined for the object emulator and the controller.
     确定了对象仿真器网络及控制器网络结构。
短句来源
     This embedded network controller has abundant network function, well openness and expandability.
     该嵌入式网络控制器网络功能丰富,具有良好的开放性和可扩展性。
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  相似匹配句对
     Network Printer Controller based on Bluetooth Technique
     网络打印机控制器
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     Networks Multiple Flow Regulator
     网络多流控制器
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     Network Data
     网络
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     NETWORK
     网络
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  controller network
When increased accuracy is needed as parameters drift, the diagnostic node fuzzy supervisor interprets the controller network's diagnostic outputs and transitions the weights to a closest fit specificchild controller.
      
It might be necessary to train a separate controller network with a different algorithm while the predictor network is learning with the TD algorithm.
      


This paper presents an architecture of adaptive PID control using artificial neural networks. A back—propagation neural network is employed to identify the controlled process. The strategy for on—line training of the PID controller is described. Siumlation and experimental studies indicate that the proposed control scheme perform well and can be easily implemented on—line.

本文提出了一种采用人工神经网络的自适应PID控制结构。在该控制结构中,一个三层反向传播神经网络用于对被控对象进行在线辨识;另一个二层线性神经网络构成具有传统PID控制结构的控制器。对PID控制器网络的在线训练方法,本文进行了较详细的叙述。仿真及实时控制实验研究表明,本文提出的控制方法可取得满意的效果,并易于在线实现。

This paper presents a new adaptive controller based on Gaussian potential function networks (GPFN). The controller consists of a PID control network and model network. In order to speed up learning rate, genetal least squares approach for network learning is proposed. The Simulation results have shown that the new controller can be successfully applied in non-linear control system.

提出一类基于GPFN(Gaussian Potential Function Networds)网络的自适应PID控制系统。该控制系统由两个GPFN网络组成,一个完成PID学习控制器,另一个完成未知被控对象模型的建立。为加快网络学习过程,提出了广义递归最小二乘(GRLS)学习算法,并推导了控制器网络所需的学习信号。仿真结果表明了该方法的有效性。

The intelligent control of the temperature of the workpiece in inductive heating is researched.The optimal control for the temperature is achieved by using self learning control based on a neural network.The training pattern for identifying the process object is obtained from the step response.The structure of the network is determined for the object emulator and the controller.The intelligent control system of the temperature is devised and completed.The field experiment is performed and the result is given....

The intelligent control of the temperature of the workpiece in inductive heating is researched.The optimal control for the temperature is achieved by using self learning control based on a neural network.The training pattern for identifying the process object is obtained from the step response.The structure of the network is determined for the object emulator and the controller.The intelligent control system of the temperature is devised and completed.The field experiment is performed and the result is given.

研究了中频感应加热工件温度智能控制问题。运用神经网络自学习控制解决温度优化控制问题。采用阶跃响应数据构成辨识感应加热对象的网络训练模式。确定了对象仿真器网络及控制器网络结构。设计制作了温度智能控制系统。经多种现场实验 ,得出了实验结果

 
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