collaborators

1 paper

eess.SY2019

Data-driven Linear Quadratic Regulation via Semidefinite Programming

Monica Rotulo, Claudio De Persis, Pietro Tesi

This paper studies the finite-horizon linear quadratic regulation problem where the dynamics of the system are assumed to be unknown and the state is accessible. Information on the…