首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Event-Based Distributed H∞ Filtering Networks of 2-DOF Quarter-Car Suspension Systems
【24h】

Event-Based Distributed H∞ Filtering Networks of 2-DOF Quarter-Car Suspension Systems

机译:两自由度四分之一汽车悬架系统基于事件的分布式H∞滤波网络

获取原文
获取原文并翻译 | 示例
       

摘要

This paper is concerned with the problem of vertical attitude estimation of a two-degree-of-freedom quarter-car suspension system by designing a distributed filtering network, where several distributed filters estimate vehicle heave motion cooperatively under consideration of external disturbance, network channel noises, and measurement error. The sampled data are transmitted through wireless networks. In order to reduce network traffic load and save communication resources, a novel periodic event-triggered sampling scheme is proposed, under which data are transmitted only when the proposed triggering condition is violated. Codesign of event-triggered and distributed filters is derived to guarantee well H∞ robustness to the system noises considered above. Finally, the experiments are given to show the effectiveness of the proposed filtering system.
机译:通过设计一个分布式滤波网络,研究了一种两自由度四分之一汽车悬架系统的垂直姿态估计问题,其中几个分布式滤波器在考虑外部干扰,网络通道噪声的情况下协同估计车辆的起伏运动。 ,以及测量误差。采样的数据通过无线网络传输。为了减少网络流量负荷并节省通信资源,提出了一种新颖的周期性事件触发采样方案,该方案仅在违反所提出的触发条件时才发送数据。推导了事件触发和分布式滤波器的协同设计,以确保对上述系统噪声具有良好的H∞鲁棒性。最后,通过实验证明了所提出的过滤系统的有效性。

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