We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa...
This paper addresses the problem of simultaneously estimating the state and the input of a linear discrete-time system. A recursive filter, optimal in the minimum-variance unbias...
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased ...
: This paper deals with a new type of estimator for discrete-time linear systems with unknown inputs. A constructive algorithm is given in order to analyze the state observability ...
In this paper, we consider periodic linear systems driven by T0-periodic signals that we desire to reconstruct. The systems under consideration are of the form ˙x =A(t)x +A0(t)w(...
Jonathan Chauvin, Gilles Corde, Nicolas Petit, Pie...