通信学报 ›› 2017, Vol. 38 ›› Issue (Z1): 200-206.doi: 10.11959/j.issn.1000-436x.2017254

• 学术论文 • 上一篇    

无线传感器网络中含未知输入的事件驱动状态估计器设计

谢承翰,陆赛杰,李云骥,彭力   

  1. 河南大学物联网应用技术教育部工程中心,江苏 无锡214122
  • 出版日期:2017-10-01 发布日期:2018-06-07
  • 作者简介:谢承翰(1993-),男,江苏连云港人,江南大学硕士生, 主要研究方向为事件驱动机制、远程状态估计、反馈控制等。|陆赛杰(1992-),男,江苏南通人,江南大学硕士生,主要研究方向为无线传感器网络、远程状态估计等。|李云骥(1991-),男,江苏无锡人,江南大学博士生,主要研究方向为无线传感器网络、远程状态估计、多跳网络等。|彭力(1967-),男,河北唐山人, 博士,江南大学大学教授、博士生导师, 主要研究方向为无线传感器网络、视觉物联网等。
  • 基金资助:
    国家自然科学基金资助项目(61374047)

Design of event-triggered state estimator with unknown input in wireless sensor networks

Cheng-han XIE,Sai-jie LU,Yun-ji LI,Li PENG   

  1. Engineering Research Center of Internet of Things Technology Applications,Ministry of Education,Jiangnan University,Wuxi 214122,China
  • Online:2017-10-01 Published:2018-06-07
  • Supported by:
    The National Natural Science Foundation of China(61374047)

摘要:

近年来,随着传感器和无线网络技术的发展,基于无线传感器的新型网络化应用也应运而生。然而,无线传感器耗能过多成为制约其发展的瓶颈。因此,研究其节点数据传输节能问题有着巨大的实际意义,针对一种含未知输入的离散随机系统,结合事件驱动机制设计估计器以实现远程状态估计。相应的远程估计器满足了无偏和最小方差特性,随后,基于所提出的事件驱动策略判定何时发送数据,从而减少数据传输。此外,通过推导一类系统性能指标的上界详细推导了时间驱动策略的形式和参数,最后,通过数据仿真实验来验证所提方法的可行性和有效性。

关键词: 无线传感器网络, 未知输入, 状态估计器, 事件驱动传输策略

Abstract:

With the development of sensors and wireless network technology,a series of new applications based on the wireless sensor has been merged in the past decades.Too much energy consumption and over-abundant occupancy rates of bandwidth are great challenges in these new applications,thus,it is of great practical significance to study the energy saving of the data transmission among these nodes.An estimator with the corresponding event-triggered transmission scheme was investigated for a class of discrete-time stochastic systems subject to unknown input.Its features satisfied the characteristic of unbiased and minimum variance was designed and then the proposed event-triggered strategy,which decided the transfer time of the data packet,can be used to reduce the number of data transmission.Furthermore,an upper bound of system performance was derived for obtaining the parameters of event scheme in details.Finally,a numerical example was given to verify the potential and effectiveness of the proposed theoretical result.

Key words: wireless sensor network, unknown input, state estimator, event-triggered data transmission mechanism

中图分类号: 

  • TP13