• DocumentCode
    3304097
  • Title

    Input design for asymptotic robust H2-filtering

  • Author

    Rojas, Cristian R. ; Hjalmarsson, H-Üakan

  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    476
  • Lastpage
    481
  • Abstract
    In this paper we study the problem of robust discrete-time H2 filtering using a Linear Matrix Inequality approach. By assuming that the number of samples available for the identification of the system is large enough, we describe the filter design problem as a semidefinite program. Afterwards, the problem of designing an input signal for the identification of the system, to improve the performance of the conceived filter, is examined, and we show how to solve this problem using convex optimization.
  • Keywords
    convex programming; discrete time filters; filtering theory; identification; linear matrix inequalities; asymptotic robust H2-filtering; conceived filter performance; convex optimization; filter design problem; linear matrix inequality; robust discrete time H2 filtering; semidefinite program; system identification; Design optimization; Filtering; Hydrogen; Linear matrix inequalities; Nonlinear filters; Robust control; Robustness; Signal design; Signal processing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400101
  • Filename
    5400101
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3304097