• DocumentCode
    3007259
  • Title

    An LMI approach for designing sliding mode observers

  • Author

    Tan, Chee Pin ; Edwards, Christopher

  • Author_Institution
    Dept. of Eng., Leicester Univ., UK
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2587
  • Abstract
    Presents a method to design sliding mode observers for a class of uncertain systems using linear matrix inequalities. The objective is to exploit the degrees of freedom available in the design which have hitherto been ignored because of the lack of a tractable solution framework. The relationship between the linear component of the sliding mode observer and a particular sub-optimal observer arising from classical linear quadratic Gaussian theory is demonstrated. This helps show how the design weighting matrices inherent in the method may be chosen in practice
  • Keywords
    Lyapunov matrix equations; linear quadratic Gaussian control; observers; poles and zeros; time-varying systems; uncertain systems; variable structure systems; LMI approach; classical linear quadratic Gaussian theory; design weighting matrices; linear matrix inequalities; sliding mode observers; suboptimal observer; Design engineering; Design methodology; Drives; Estimation error; Linear matrix inequalities; Observers; Robustness; Stability; State estimation; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.914193
  • Filename
    914193