• DocumentCode
    3169399
  • Title

    Experiment Design for Structured Nonlinear System Identification

  • Author

    Hsu, Kenneth ; Vincent, Tyrone ; Poolla, Kameshwar

  • Author_Institution
    Univ. of California, Berkeley
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    1554
  • Lastpage
    1559
  • Abstract
    When identifying nonlinear functions in interconnected systems, it is often desired that the exciting signal be sufficiently dense both spatially and temporally. However, density requirements are only realizable in infinite-length experiments. In this paper, we consider metrics for determining the quality of finite-length signals for the purpose of identification. Although the resulting experiment design problem is non-convex, we provide some insight that warrants further exploration of possible relaxations for the problem.
  • Keywords
    identification; nonlinear systems; signal processing; density requirement; finite-length signal; interconnected system; nonconvex experiment design; nonlinear function identification; structured nonlinear system identification; Cities and towns; Control systems; Heart; Interconnected systems; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Sensor systems; Signal design; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2007. ACC '07
  • Conference_Location
    New York, NY
  • ISSN
    0743-1619
  • Print_ISBN
    1-4244-0988-8
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2007.4282750
  • Filename
    4282750