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20192022
most citedLearning Controllers from Data via Approximate Nonlinearity Cancellation

7 citations · 7 across the 2 of their papers we have counts for

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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…