Recursive subspace identification of Hammerstein models based on LS-SVM
Résumé
This paper presents a recursive scheme for the identification of Hammerstein MIMO models. The Markov parameters of the system are determined first by a Least Squares Support Vector Machines (LS-SVM) regression through an over-parameterization technique. Then, a state space realization of the system is retrieved using an adapted online subspace identification method. Simulation results are provided to demonstrate the effectiveness of the algorithm in the presence of white output noise.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)
Loading...