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Publications (4)0 Total impact

  • Oumayma Omar · Mazen Alamir
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    ABSTRACT: This paper proposes a new Moving-Horizon Estimation Scheme based on the use of Partial Explicit Inversion Maps. This scheme is used to reconstruct unmeasured quantities of a dynamic system (states and/or system's parameters). The use of explicit inversion maps reduces the computational burden involved in Classical Moving Horizon Estimation techniques (MHE). The maps express a part of the problem unknowns as a function of the remaining part. The computational effort can then be focused on the remaining reduced-dimensional unknown vector. The paper shows how these maps can be derived based on a recently developed graphicalsignature-oriented technique. A detailed illustrative example concerning the estimation problem in E-Coli culture is proposed to show the efficiency of the proposed methodology.
    No preview · Article · Apr 2012 · Journal Européen des Systèmes Automatisés
  • Mazen Alamir · Oumayma Omar

    No preview · Article · Jan 2012
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    Oumayma Omar · Mazen Alamir
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    ABSTRACT: This paper proposes a novel approach that may help reducing the computational burden when using the Nonlinear Moving-Horizon Observer/ Estimator (MHE) technique. This technique is often used to reconstruct unmeasured quantities of a dynamic system. The latter may include both the state and the vector of parameters that are involved in the system model. The proposed approach is based on the use of partial explicit inversion maps that express a part of the problem unknowns as a function of the remaining ones. The Moving-Horizon Estimators can therefore concentrate on the latter reduced dimensional unknown vector. The paper shows how explicit inversion maps can be derived based on a recently developed graphical-signature-based technique. Two illustrative examples are proposed to show the efficiency of the proposed solution.
    Preview · Article · Dec 2011
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    ABSTRACT: This paper relates preliminary results concerning the solution of inverse problems arising in electric sense based navigation. This sense is used by electric fishes to move in dark waters using the electric current measurements perceived by the epidermal sensors as these are affected by the presence of obstacles. The latter change the resulting induced measures by instantaneously disturbing the fish self-produced electric field. The approach lies on a recently proposed graphical signature based classification methodology to overcome the computational burden associated to an explicit inversion of the mathematical equations. A preliminary validation of the proposed solution is obtained using a dedicated experimental setting.
    Full-text · Conference Paper · Jan 2011