首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Improving Estimation Performance in Networked Control Systems Applying the Send-on-delta Transmission Method
【2h】

Improving Estimation Performance in Networked Control Systems Applying the Send-on-delta Transmission Method

机译:采用增量发送方式提高网络控制系统的估计性能

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper is concerned with improving performance of a state estimation problem over a network in which a send-on-delta (SOD) transmission method is used. The SOD method requires that a sensor node transmit data to the estimator node only if its measurement value changes more than a given specified δ value. This method has been explored and applied by researchers because of its efficiency in the network bandwidth improvement. However, when this method is used, it is not ensured that the estimator node receives data from the sensor nodes regularly at every estimation period. Therefore, we propose a method to reduce estimation error in case of no sensor data reception. When the estimator node does not receive data from the sensor node, the sensor value is known to be in a (−δi,+δi) interval from the last transmitted sensor value. This implicit information has been used to improve estimation performance in previous studies. The main contribution of this paper is to propose an algorithm, where the sensor value interval is reduced to (−δi/2,+δi/2) in certain situations. Thus, the proposed algorithm improves the overall estimation performance without any changes in the send-on-delta algorithms of the sensor nodes. Through numerical simulations, we demonstrate the feasibility and the usefulness of the proposed method.
机译:本文关注的是在使用增量发送(SOD)传输方法的网络上提高状态估计问题的性能。 SOD方法要求传感器节点仅在其测量值变化超过给定的指定δ值时,才将数据传输到估计器节点。由于其在提高网络带宽方面的效率,该方法已被研究人员探索和应用。然而,当使用该方法时,不能确保估计器节点在每个估计周期定期地从传感器节点接收数据。因此,我们提出了一种在没有传感器数据接收的情况下减少估计误差的方法。当估计器节点未从传感器节点接收数据时,已知传感器值与上次发送的传感器值之间的间隔为(-δi,+δi)。在先前的研究中,这种隐式信息已被用于改善估计性能。本文的主要贡献是提出了一种算法,该算法在某些情况下将传感器值间隔减小为(-δi/ 2,+δi/ 2)。因此,所提出的算法在不改变传感器节点的增量发送算法的情况下提高了总体估计性能。通过数值模拟,我们证明了该方法的可行性和实用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号