• DocumentCode
    2438612
  • Title

    Extended blending techniques with applications in robust tracking control and fault-tolerant control

  • Author

    Xu, Jun ; Xie, Lihua ; Lum, Kai Yew

  • Author_Institution
    Temasek Labs., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    911
  • Lastpage
    916
  • Abstract
    In this paper, we extend the blending technique introduced in [2] to a general case. Different from, where all the columns of the distribution matrices of the exogenous inputs should be linearly independent of each other, we only require that part of the columns are linearly independent, and the other matrices have full column ranks. Based on this blending technique, we present a novel approach to the robust fault-tolerant control scheme and robust tracking problem. The novelty lies in the fact that we can separately design the controller gains for different performance indices, while simultaneously achieving all the indices via an elegant construction of an overall controller. The design procedure is based on LMI techniques and basic linear algebra tools.
  • Keywords
    control system synthesis; fault tolerance; matrix algebra; robust control; tracking; LMI techniques; blending technique; controller design; distribution matrices; exogenous inputs; extended blending; robust fault-tolerant control; robust tracking control; robust tracking problem; Additives; Erbium; Fault tolerance; Fault tolerant systems; Robustness; Transfer functions; Transient analysis; Blending technique; LMI; Multiple objective design; Robust tracking; fault-tolerant control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707876
  • Filename
    5707876