16 citations · 37 across the 5 of their papers we have counts for
14 papers · 1 filter
Event-triggered control of nonlinear systems from data
Hailong Chen, Claudio De Persis, Andrea Bisoffi +1
In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a clas…
Data-driven harmonic output regulation of a class of nonlinear systems
Zhongjie Hu, Claudio De Persis, John W. Simpson-Porco +1
The paper deals with the data-based design of state-feedback controllers that solve the output regulation problem for a class of nonlinear systems. Inspired by recent developments…
A Versatile Framework for Data-Driven Control of Nonlinear Systems
Nima Monshizadeh, Claudio De Persis, Pietro Tesi
This note aims to provide a systematic investigation of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering…
Enforcing contraction via data
Zhongjie Hu, Claudio De Persis, Pietro Tesi
We present data-based conditions for enforcing contractivity via feedback control and obtain desired asymptotic properties of the closed-loop system. We focus on unknown nonlinear…
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…