A new way to design parameter estimators with enhanced performance is proposed in the
paper. The procedure consists of two stages, first, the generation of new regression forms …

The increasing penetration of power-electronic-interfaced devices is expected to have a
significant effect on the overall system inertia and a crucial impact on the system dynamics …

In this article, we consider the excitation preservation problem of Kreisselmeier's regressor
extension scheme. We analyze this problem within the context of the dynamic regressor …

In this paper we propose an adaptive state observer for a class of nonlinear systems with
unknown parameters. Assuming that the system variables satisfy an algebraic constraint, a …

This paper presents a novel power system oscillation dam** controller design based on a
data-driven model-predictive control (MPC) approach. The system dynamics are extracted …

The recently proposed Dynamic Regressor Extension and Mixing (DREM) procedure has
been proven to enhance transient performance in online parameter estimation and it has …

In this paper we address the problem of state observation for sensorless control of magnetic
levitation systems, that is, the regulation of the position of a levitated object measuring only …

Dynamic regressor extension and mixing (DREM) is a new technique for parameter
estimation that has proven instrumental in the solution of several open problems in system …

Abstract In Bernard and Praly (2017), we introduced a new sensorless rotor position
observer for permanent magnet synchronous motors which does not require the knowledge …

Dynamic regressor extension and mixing is a new technique for parameter estimation that
has proven instrumental in the solution of several open problems in system identification …