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Study On Appling The Sampling Information processor Into The Shared Control System Identification In Internet

机译:将采样信息处理器应用于Internet中共享控制系统识别的研究

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In order to realize the parameters estimation of shared plants by the server node in the Internet Based Shared Control System. We propose a new method that can online identify the model parameters through Internet Based Shared Control System under the time-varying and time-delay environment. By applying the Sampling Information Processor to the course of the shared plant online identification, we can decrease the influence of network factor in the online identification system. Taking out all ranks state variable of shared plant's model by identification algorithm processor in server node, we realize the online identifying the model parameters of the remote terminal. Numerical computer simulations are performed to compare our system' result with the existing system' result without influence of network factor. Results show that our method is valid. Lastly, our method realizes to identify the model parameters of the controlled object in different region under the network environment, and extends the applications of the online identification system.
机译:为了实现基于因特网的共享控制系统中的服务器节点的共享工厂的参数估计。我们提出了一种新的方法,可以在线通过基于Internet的共享控制系统在线在时变延时环境下识别模型参数。通过将采样信息处理器应用于共享工厂在线识别的过程中,我们可以降低网络因素在在线识别系统中的影响。通过识别算法处理器在服务器节点中取出共享工厂模型的所有等级变量,我们实现了在线标识远程终端的模型参数。执行数值计算机仿真以将系统的系统与现有系统的结果进行比较,而不会影响网络因子的影响。结果表明我们的方法有效。最后,我们的方法实现了在网络环境下识别不同区域中受控对象的模型参数,并扩展了在线识别系统的应用。

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