A whole family of Lk norm adaptive transversal filters is introduced and analyzed, in the context of plant
identification, under hypotheses that are validated by simulation results . The analysis allows to establish general
convergence conditions and to compare the performance of the elements of the family from the point of view of
their speed of convergence-degree of convergence (final residual error variance) compromise ; the results of these
comparisons depend on the plant noise distribution characteristics . The deterministic optimization of the adaption
step is also formulated and evaluated by means of simulation . Finally, open research lines in this area are
indicated.Analyse complète de filtres transversaux adaptatifs avec norme LK pour l'identification des systèmes. Cet analyse permet d'établir les conditions générales de convergenc