Abdelhak Goudjil

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We present an identification algorithm for determining the variables characterizing a circadian rhythm. This method is based on a recursive least square algorithm combined with an appropriate observer. It has the advantage of determining all the parameters of a time-varying circadian rhythm without requiring the knowledge of the period. A comparison study(More)
We present in this paper a recursive identification algorithm for switched linear systems in the presence of bounded noise. At each time, the algorithm consists in two successive steps: in a first step the algorithm realizes the estimation of the discrete state, in a second step it realizes the identification of the sub-models. The identification step is(More)
We consider the problem of a real-time identification of switched linear systems in the presence of bounded noise. This is a challenging problem that involves the association of each data to the most suitable sub-system and the estimation of the parameters of all sub-systems. The proposed algorithm is based on an Outer Bounding Ellipsoid (OBE) type(More)
This paper presents a new identification algorithm for Piecewise Affine Autoregressive exogenous (PWARX) models in the presence of bounded disturbances. This problem includes the estimation of both parameters of the sub-models and the polyhedral partition of the regressor domain. The proposed algorithm proceeds in two stages. In the first stage, it(More)
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