• DocumentCode
    3588291
  • Title

    Study on robust stability inverse problem for linear systems

  • Author

    Xianhong Li ; Haibin Yu ; Peng Zeng ; Lanxiang Sun

  • Author_Institution
    Key Lab. of Ind. Control Network & Syst., Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2014
  • Firstpage
    34
  • Lastpage
    38
  • Abstract
    Most of traditional robust problems focus on developing a robust controller to stabilize the dynamic system when system parameters perturb in certain bounded range. However, this paper studies the robust inverse problem, that is to say studying robust stability´s inverse problem (RSIP) for linear systems. In other words, it needs to find at least a stable system parameters´ perturbation space (SSPPS) for any given stable controller. A robust stability´s inverse theorem is proposed for linear systems, and SSPPS of stable controllers can be determined by inverse theorem. SSPPS is investigated by inverse theorem when system parameters appear perturbations. Numerical example and results are shown correctness and effectiveness of robust stability´s inverse theorem.
  • Keywords
    linear systems; robust control; RSIP; SSPPS; dynamic system; linear systems; parameters perturb system; robust controller; robust problems; robust stability inverse problem; robust stability inverse theorem; stable controller; stable controllers; stable system parameters perturbation space; Aerospace electronics; Control systems; Design methodology; Linear systems; Process control; Robust stability; Robustness; linear systems; robust stability´s inverse problem (RSIP); stable controllers; stable system parameters´ perturbation space (SSPPS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Control Conference (CACS), 2014 CACS International
  • Print_ISBN
    978-1-4799-4586-3
  • Type

    conf

  • DOI
    10.1109/CACS.2014.7097158
  • Filename
    7097158