首页> 外文期刊>Journal of the Franklin Institute >Particle filter with Markovian packet dropout and time delay
【24h】

Particle filter with Markovian packet dropout and time delay

机译:具有Markovian数据包丢失和时间延迟的粒子滤波器

获取原文
获取原文并翻译 | 示例
           

摘要

This technical note is concerned with particle filter for the discrete-time nonlinear networked control system. First, modified particle filter algorithm with Markovian packet dropout and time delay is proposed, and its error covariance is benchmarked by Markovian Cramer-Rao lower bound. Second, an upper bound of the Markovian Cramer-Rao lower bound is presented for some special nonlinear networked systems. Third, some necessary conditions for the boundness of error covariance are given by obtaining some sufficient conditions for the bounded Markovian Cramer-Rao lower bound. Finally, numerical examples are presented to illustrate the efficiency of proposed particle filter. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本技术说明涉及离散时间非线性网络控制系统的粒子滤波器。首先,提出了一种具有马尔可夫丢包和时延的改进粒子滤波算法,并以马尔可夫克拉默-拉奥下界为基准对误差协方差进行了标定。其次,给出了一些特殊的非线性网络系统的马尔可夫克雷默-拉奥下界的上限。第三,通过获得有界Markovian Cramer-Rao下界的一些充分条件,给出了误差协方差有界的一些必要条件。最后,通过数值算例说明了所提出的粒子滤波器的效率。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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