• DocumentCode
    8154
  • Title

    New stability criterion using a matrix-based quadratic convex approach and some novel integral inequalities

  • Author

    Xian-Ming Zhang ; Qing-Long Han

  • Author_Institution
    Centre for Intell. & Networked Syst., Central Queensland Univ., Rockhampton, QLD, Australia
  • Volume
    8
  • Issue
    12
  • fYear
    2014
  • fDate
    August 14 2014
  • Firstpage
    1054
  • Lastpage
    1061
  • Abstract
    This study is concerned with the stability of a linear system with an interval time-varying delay. First, a new augmented Lyapunov-Krasovskii functional (LKF) is constructed, which includes three integral terms in the form of ∫t-ht(h-t)+)s)jTRjẋ(s) ds (j)=) 1, 2, 3). Second, three novel integral inequalities are established to estimate the upper bounds of the integrals ∫t-ht(h-t)+)s)jTRjẋ(s) ds (j)=) 0, 1, 2) appearing in the derivative of the LKF. Third, a matrix-based quadratic convex approach is introduced to prove not only the negative definiteness of the derivative of the LKF along with the trajectory of the system, but also the positive definiteness of the LKF. Finally, a novel delay-derivative-dependent stability criterion is formulated. The effectiveness of the stability criterion is shown through two numerical examples.
  • Keywords
    convex programming; integral equations; matrix algebra; quadratic programming; stability; LKF; augmented Lyapunov-Krasovskii functional; delay derivative dependent stability criterion; integral terms; interval time-varying delay; linear system; matrix-based quadratic convex approach; novel integral inequalities; positive definiteness;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2013.0840
  • Filename
    6869218