Imen Laamiri

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This paper proposes a stochastic identification algorithm of a model describing non linear stochastic system. The identified model, known as SVD-PARAFAC-Volterra model, results from tensor decomposition of kernels of classical Volterra model. The proposed algorithm uses the Recursive Instrumental Variable (RIV) method in alternating way to estimate the(More)
In this paper we provide a convergence analysis of the alternating RGLS (Recursive Generalized Least Square) algorithm used for the identification of the reduced complexity Volterra model describing stochastic non-linear systems. The reduced Volterra model used is the 3rd order SVD-PARAFC-Volterra model provided using the Singular Value Decomposition (SVD)(More)
This paper proposes a stochastic identification algorithm of a model describing non linear stochastic system. The identified model known as SVD-PARAFAC-Volterra model [1] results from tensor decomposition of kernels of classical Volterra model. The proposed algorithm uses the Recursive Generalized Least Square (RGLS) method in alternative way to estimate(More)
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