Andrea Bisoffi

TL;DR: For an unknown discrete-time bilinear system, the data collected in an offline open-loop experiment enable us to design a feedback controller and provide a guaranteed underapproximation of its basin of attraction.

TL;DR: In this paper, a point mass subject to Coulomb friction in feedback with a PID controller is considered and a model based on a differential inclusion comprising all the possible magnitudes of static friction during the stick phase and having unique solutions is proposed.

TL;DR: A reset integrator is applied to circumvent the depletion and refilling process of a linear integrator when the solution overshoots the setpoint, thereby significantly reducing the settling time.

TL;DR: In this paper, the authors consider the problem of designing a stabilizing controller for an unknown linear system using only a finite set of noisy data collected from the system and show that the feasible set of the latter design problem is always larger and the set of system matrices consistent with data is always smaller and decreases significantly with the number of data points.

TL;DR: In this article, an intention-oriented model for the longitudinal dynamics is embedded into an enhanced Kalman filter that provides the user with a knob to trade off between responsiveness of the estimate and noise rejection.