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

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 …

In this paper, we propose a new state observer design technique for nonlinear systems. It
combines the well-known Kazantzis–Kravaris–Luenberger observer and the recently …

Stabilizing the state of a system relying only on the knowledge of a measured output is a
classical control theory problem. Designing a stable closed loop based on an observer …

We consider the problem of dynamic output feedback stabilization at an unobservable target
point. The challenge lies in according the antagonistic nature of the objective and the …

We show that for PWM-operated devices, it is possible to benefit from signal injection without
an external probing signal, by suitably using the excitation provided by the PWM itself. As in …

The problem of dynamic output stabilization is a very general and important problem in
control theory. This problem is completely solved in the case where the system under …

Parameter estimation-based observers are a new kind of state reconstruction methods
where the state observation task is translated into an on-line parameter estimation problem …

In this paper we address the problem of sensorless control of the I-DOF magnetic levitation
system. Assuming that only the current and the voltage are measurable, we design an …

Probing signal injection is a well-established technique to extract additional information from
a weakly (or non) observable dynamical system. Using averaging theory, a framework to …