This paper presents a model reference adaptive control (MRAC) system for nonlinear, time-
varying, hybrid dynamical plants affected by modeling uncertainties. This system is unique …

We propose a hybrid Kalman-like observer for general hybrid systems with linear (time-
varying) dynamics and output maps, where the solutions' jump times are exactly known …

This paper presents the first model reference adaptive control system for nonlinear, time‐
varying, hybrid dynamical plants affected by matched and parametric uncertainties, whose …

We consider the problem of estimating a vector of unknown constant parameters for a class
of hybrid dynamical systems–that is, systems whose state variables exhibit both continuous …

In this article, we propose a framework of stability analysis for a class of linear
nonautonomous hybrid systems, with solutions evolving in continuous time governed by an …

We consider the problem of estimating a vector of unknown constant parameters for a hybrid
system whose flow and jump dynamics are affine in the unknown parameter. Using a hybrid …

Estimating the unknown parameters of a system is critical in many engineering applications,
such as the control of power electronics, motion planning for autonomous cars, flight …

We propose a hybrid sensorless observer for permanent magnet synchronous machines
with global asymptotic stability guarantees. Exploiting the constraint of the rotor flux on a …

We consider the problem of estimating a vector of unknown constant parameters for a linear
regression model whose inputs and outputs are discretized hybrid signals–that is, they are …

We address a classical identification problem that consists in estimating a vector of constant
unknown parameters from a given linear input/output relationship. The proposed method …