用神经网络预测远控系统信息时滞的研究

Xu Shuping, Wu Jinfe, Sui Xiaohui, Xiong Xiaodun
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引用次数: 0

摘要

摘要针对网络控制系统前信道和反馈信道中存在的随机时延和时延不确定性问题,分实例分析了随机时延影响闭环控制系统的根本原因,提出了基于神经网络的预测控制方法解决存在网络随机时延在控制系统闭环控制中的可行性。仿真结果表明,该方法能够反映和预测表征网络路径的测量数据之间的时延特性,能够有效替代实际网络在基于Internet的闭环控制系统设计中进行研究;所采用的方法快速准确,可用于在线学习网络模型和预测网络时延值,为基于Internet的远程闭环控制提供了一种新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System
Abstract Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation results show that the method can reflect and predict the delay characteristics of between measurement data represents the network path, and can effectively substitute for the actual network in the design of closed-loop control system based on Internet to research; the method used fast and accurate can be used for online learning network model and forecast the network delay value, provides a new way to remote closed-loop control based on Internet.
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