• DocumentCode
    3693312
  • Title

    Sampled-data model following control for discrete-valued input systems via improved matrix uncertainty approach

  • Author

    Kenji Sawada;Seiichi Shin

  • Author_Institution
    Info-Powered Energy System Research Center, The University of Electro-Communications, Chofu, Tokyo, 182-8585, Japan
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1657
  • Lastpage
    1662
  • Abstract
    This paper considers a sampled-data model following control for continuous-time discrete-valued input systems. A synthesis condition is recast as a set of matrix inequalities via the matrix uncertainty approach, while the quantized accuracy and the switching speed of discretizing the continuous-valued signal are considered simultaneously. To reduce the conservativeness of the synthesis condition, the improved approach dividing the region of the switching intervals is also proposed.
  • Keywords
    "Linear matrix inequalities","Cost function","Uncertainty","Accuracy","Quantization (signal)","Feedforward neural networks","Sampled data systems"
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2015 European
  • Type

    conf

  • DOI
    10.1109/ECC.2015.7330775
  • Filename
    7330775