Hfaïedh Kaïs, Dahech Karim and Damak Tarak. A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple Models Approach. International Journal of Automation and Computing, vol. 14, no. 2, pp. 202-212, 2017. DOI: 10.1007/s11633-016-0970-x
Citation: Hfaïedh Kaïs, Dahech Karim and Damak Tarak. A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple Models Approach. International Journal of Automation and Computing, vol. 14, no. 2, pp. 202-212, 2017. DOI: 10.1007/s11633-016-0970-x

A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple Models Approach

  • This paper presents a method of state estimation for uncertain nonlinear systems described by multiple models approach. The uncertainties, supposed as norm bounded type, are caused by some parameters' variations of the nonlinear system. Linear matrix inequalities (LMIs) have been established in order to ensure the stability conditions of the multiple observer which lead to determine the estimation gains. A sliding mode gain has been added in order to compensate the uncertainties. Numerical simulations through a state space model of a real process have been realized to show the robustness of the synthesized observer.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return