期刊文献+

基于固定滞后平滑算法的线性离散时变系统故障估计

Fixed-lag Smoothing-based Fault Estimation for Linear Discrete Time-varying Systems
下载PDF
导出
摘要 研究一类线性离散时变系统的故障估计问题.首先,通过引入一种规则化最小二乘标准来作为故障估计问题的性能指标;进而,应用最小二乘固定滞后平滑算法,得到了估计问题可解的充要条件,给出了故障和状态的一步滞后平滑估计器和两步滞后平滑估计器.算例验证了本文所提方法的有效性. This paper addresses the fault estimation problem for linear discrete time--varying systems. First, a regularized least--squares criterion is introduced as a performance index of the fault estimation problem. Moreover, by applying the least--squares fixed--lag smoothing algorithm, a sufficient and nec- essary condition on the existence of the fault estimator is derived. Simultaneously, the simultaneous state and fault estimator is obtained if the solvable conditions are satisfied. Finally, a numerical example is pres- ented to illustrate the proposed method.
出处 《德州学院学报》 2013年第6期63-68,共6页 Journal of Dezhou University
关键词 线性离散时变系统 故障估计 规则化最小二乘 固定滞后平滑 linear discrete time-- varying systems fault estimation regularized least-- squares fixed-- lag smoothing
  • 相关文献

参考文献13

  • 1Chen J,Patton R J. Robust model -based fault diagnosis for dynamic systems [M]. Boston: Kluwer Academic Publish-ers ,1999. 被引量:1
  • 2Ding S X,Jeinsch T,Frank P M,et al. A unified approach to the optimization of fault detection systems [J]. Int. J. Adapt.Control Signal Process,2000,14: 725 - 745. 被引量:1
  • 3Zhong M Y,Ding S X,Lam J,et al. An LMI approach to design robust fault detection filter for uncertain systems[J].Automadca’2003,39(3) :543 - 550. 被引量:1
  • 4Xu A P,Zhang Q H. Residual generation for fault diagnosis in linear time- varying systems[J], IEEE Trans. AutomaticControl,2004>49(5) :767 - 772. 被引量:1
  • 5Li X B,Zhou K M. A time domain approach to robust fault detection of linear time-varying systems[A]. Proceedings ofthe 46th IEEE Conference on Decision and Control[C]. USA .2007 ,Page(s) :1015 -1020. 被引量:1
  • 6刘帅,钟麦英.线性离散时变系统的H_∞故障估计[J].山东大学学报(工学版),2007,37(3):36-40. 被引量:4
  • 7Liu S,Zhong M Y. The Hx, fault estimation for discrete time - varying systems [J]. Journal of Shandong University(Engineering Science),2007,37(3):36 - 40. 被引量:1
  • 8Anderson B D O,Moor J B. Optimal filtering [M]. Englewood Cliffs. NJ : Prentice-Hall,1979. 被引量:1
  • 9Kailath T, Sayed A H,Hassibi B. Linear estimation [M], Upper Saddle River, NJ : Prentice- Hall,2000. 被引量:1
  • 10Sayed A H. A framework for state-space estimation with uncertain models [J]. IEEE Trans. Automatic Control,2001,46(7) :998-1013. 被引量:1

二级参考文献12

  • 1H S ZHANG,L H XIE,Y C SOH.A unified approach to linear estimation for discrete-time systems-part 1:Estimation[A].In Proc 40th IEEE Conf Decision Contr[C].Orlando,Florida:the IEEE Inc,2917-2922. 被引量:1
  • 2HASSIBI B,SAYED A H,KAILATH T.Indefinite quadratic estimation and control:A unified approach to H2 and H∞ theories[M].Philadelphia,PA:SIAM,1999. 被引量:1
  • 3ZHONG M,DING S X,LAM J,et al.An LMI approach to design robust fault detection filter for uncertain systems[J].Automatica,2003,(39):543-550. 被引量:1
  • 4HENRY D,ZOLGHADRI A.Design of fault diagnosis filters:A multi-objective approach[J].Journal of the Franklin Institute,2005,342(4):421-446. 被引量:1
  • 5CHEN J,PATRON R J.Standard filtering formulation of robust fault detection[A].Proceedings of SAFEPROCESS'[C].Budapest:1FAC,2000.256-261. 被引量:1
  • 6STOUSTRUP J,NIEMANN N N.Fault estimation-a standard problem approach[J].J Robust & Nonlinear Contr,2002,(12):649-673. 被引量:1
  • 7DOYIE J C,GLOVER K,P P KHARGONEKAR P P,et al.State-space solutions to standard H2 and H∞ control problems[J].IEEE Transactions on Automatic Control,1989,34(8):831~847. 被引量:1
  • 8RA W S,JIN S H,PARK J B.Set-valued estimation approach to recursive robust H∞ filtering[J].IEE Proc Control Theory Appl,2004,151(6):773~782. 被引量:1
  • 9HASSIBI B,SAYED A H,KAILATH T.Linear estimation in Krein spaces Ⅱ:Applications[J].IEEE Trans Autom Control,1996,41(1):34-49. 被引量:1
  • 10HASSIBI B,SAYED A H,KAILATH T.Linear estimation in Krein spaces Ⅰ:Theory[J].IEEE Trans Autom Control,1996,41(1):18-33. 被引量:1

共引文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部