• DocumentCode
    2253452
  • Title

    L2-stability of hinging hyperplane models via integral quadratic constraints

  • Author

    Bianchini, Gianni ; Paoletti, Simone ; Vicino, Antonio

  • Author_Institution
    Dipt. di Ing. dell´´ Inf., Univ. di Siena, Rome, Italy
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    3398
  • Lastpage
    3403
  • Abstract
    This paper is concerned with L2-stability analysis of hinging hyperplane autoregressive models with exogenous inputs (HHARX). The proposed approach relies on analysis results for systems with repeated nonlinearities based on the use of integral quadratic constraints. An equivalent linear fractional representation of HHARX models is firstly derived. In this representation, an HHARX model is seen as the feedback interconnection of a linear system and a diagonal static block with repeated scalar nonlinearity. This makes it possible to exploit the aforementioned analysis results. The corresponding sufficient condition for L2-stability can be checked via a linear matrix inequality. A numerical example shows that the proposed approach is effective in practice.
  • Keywords
    autoregressive processes; control nonlinearities; linear matrix inequalities; linear systems; stability; L2-stability analysis; diagonal static block; equivalent linear fractional representation; feedback interconnection; hinging hyperplane autoregressive models; integral quadratic constraints; linear matrix inequality; linear system; repeated nonlinearities; repeated scalar nonlinearity; Computational modeling; Context modeling; Cost function; Electronic mail; Fasteners; Feedback; Linear matrix inequalities; Linear systems; Lyapunov method; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739320
  • Filename
    4739320