• DocumentCode
    3357457
  • Title

    Fractional-order adaptive fault estimation for a class of nonlinear fractional-order systems

  • Author

    N´Doye, Ibrahima ; Laleg-Kirati, Taous-Meriem

  • Author_Institution
    Comput., Electr. & Math. Sci. & Eng. Div. (CEMSE), King Abdullah Univ. of Sci. & Technol.(KAUST), Saudi Arabia
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3804
  • Lastpage
    3809
  • Abstract
    This paper studies the problem of fractional-order adaptive fault estimation for a class of fractional-order Lipschitz nonlinear systems using fractional-order adaptive fault observer. Sufficient conditions for the asymptotical convergence of the fractional-order state estimation error, the conventional integer-order and the fractional-order faults estimation error are derived in terms of linear matrix inequalities (LMIs) formulation by introducing a continuous frequency distributed equivalent model and using an indirect Lyapunov approach where the fractional-order α belongs to 0 <; α <; 1. A numerical example is given to demonstrate the validity of the proposed approach.
  • Keywords
    Lyapunov methods; convergence; fault diagnosis; linear matrix inequalities; nonlinear systems; observers; LMI formulation; asymptotical convergence; continuous frequency distributed equivalent model; conventional integer-order; fractional-order Lipschitz nonlinear systems; fractional-order adaptive fault estimation; fractional-order adaptive fault observer; fractional-order fault estimation error; fractional-order state estimation error; indirect Lyapunov approach; linear matrix inequalities; sufficient conditions; Adaptive systems; Estimation error; Lyapunov methods; Nonlinear systems; Observers; Fractional-order nonlinear system; actuator fault; fractional-order adaptive fault estimation; indirect Lyapunov approach; linear matrix inequality (LMI); observer design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171923
  • Filename
    7171923