31 citations · 54 across the 4 of their papers we have counts for
4 papers
Data-driven stabilizer design and closed-loop analysis of general nonlinear systems via Taylor's expansion
Meichen Guo, Claudio De Persis, Pietro Tesi
For data-driven control of nonlinear systems, the basis functions characterizing the dynamics are usually essential. In existing works, the basis functions are often carefully chos…
Data-driven stabilization of nonlinear polynomial systems with noisy data
Meichen Guo, Claudio De Persis, Pietro Tesi
In a recent paper we have shown how to learn controllers for unknown linear systems using finite-sized noisy data by solving linear matrix inequalities. In this note we extend this…
Learning control for polynomial systems using sum of squares relaxations
Meichen Guo, Claudio De Persis, Pietro Tesi
This paper considers the problem of learning control laws for nonlinear polynomial systems directly from the data, which are input-output measurements collected in an experiment ov…
Network games with dynamic players: Stabilization and output convergence to Nash equilibrium
Meichen Guo, Claudio De Persis
This paper addresses a class of network games played by dynamic agents using their outputs. Unlike most existing related works, the Nash equilibrium in this work is defined by func…