• DocumentCode
    1360009
  • Title

    Sufficient Conditions for Finite-Time Stability and Stabilization of Nonlinear Quadratic Systems

  • Author

    Amato, Francesco ; Cosentino, Carlo ; Merola, Alessio

  • Author_Institution
    Sch. of Comput. & Biomed. Eng., Univ. degli Studi Magna Graecia di Catanzaro, Catanzaro, Italy
  • Volume
    55
  • Issue
    2
  • fYear
    2010
  • Firstpage
    430
  • Lastpage
    434
  • Abstract
    In this paper we deal with the finite-time stability problem for quadratic systems. Such class of systems plays an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). The main results of the paper consist of two sufficient conditions for finite-time stability analysis and finite-time stabilization via static state feedback; both conditions are given in terms of the feasibility of a convex optimization problem, involving linear matrix inequalities. A numerical example illustrates the applicability of the proposed technique.
  • Keywords
    Lyapunov methods; asymptotic stability; convex programming; linear matrix inequalities; nonlinear systems; state feedback; convex optimization; finite time stability; linear matrix inequality; nonlinear quadratic systems stabilization; quadratic system; static state feedback; Asymptotic stability; Biological system modeling; Calculus; Control system synthesis; Cost function; Entropy; Linear matrix inequalities; Power system dynamics; Power system modeling; Robots; Stability; State feedback; Steady-state; Sufficient conditions; Time varying systems; Finite time stability (FTS); nonlinear quadratic systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2009.2036312
  • Filename
    5356157