12 citations · 23 across the 7 of their papers we have counts for
3 papers · 1 filter
Learning Controllers from Data via Approximate Nonlinearity Cancellation
Claudio De Persis, Monica Rotulo, Pietro Tesi
We introduce a method to deal with the data-driven control design of nonlinear systems. We derive conditions to design controllers via (approximate) nonlinearity cancellation. Thes…
Online learning of data-driven controllers for unknown switched linear systems
Monica Rotulo, Claudio De Persis, Pietro Tesi
Motivated by the goal of learning controllers for complex systems whose dynamics change over time, we consider the problem of designing control laws for systems that switch among a…
DC power grids with constant-power loads -- Part I: A full characterization of power flow feasibility, long-term voltage stability and their correspondence
Mark Jeeninga, Claudio De Persis, Arjan van der Schaft
In this two-part paper we develop a unifying framework for the analysis of the feasibility of the power flow equations for DC power grids with constant-power loads. In Part I of th…