• DocumentCode
    3643149
  • Title

    Estimation of Nonlinear System Parameter Faults via Sliding Mode Observer

  • Author

    Dusan Krokavec;Anna Filasova

  • Author_Institution
    Dept. of Cybern. &
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Advanced principle for designing a system para-meter fault estimation based on sliding mode structure and neural network fault approximation, is treated in the paper. Linear matrix inequality is outlined to possess stable sliding mode structure closest to optimal dynamic properties, and the network weight adaptation law is derived.
  • Keywords
    "Observers","Linear matrix inequalities","Generators","Biological neural networks","Approximation methods","Lyapunov methods"
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
  • Print_ISBN
    978-1-4577-0855-8
  • Type

    conf

  • DOI
    10.1109/PACCS.2011.5990172
  • Filename
    5990172
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3643149