no code implementations • 27 Nov 2023 • Soroush Asri, Luis Rodrigues
It is proven that the obtained linear correction term is optimal for linear systems, as both the value function and the QNN's input-output mapping are quadratic.
no code implementations • 16 Nov 2023 • Soroush Asri, Luis Rodrigues
This paper introduces a novel data-driven approach to design a linear quadratic regulator (LQR) using a reinforcement learning (RL) algorithm that does not require a system model.
no code implementations • 14 Feb 2023 • Steven Li, Luis Rodrigues
Electric and hybrid-electric aircraft can help our society transition towards more sustainable aviation and lower greenhouse gas (GHG) emissions.
no code implementations • 17 Nov 2022 • Luis Rodrigues
Finally, for the cases where the output is equal to the state it is shown that the LQR solution verifies the proposed LMI.
no code implementations • 26 Jul 2022 • Luis Rodrigues, Sidney Givigi
The results in the paper cast regression, classification, system identification, stability and control design as convex optimization problems, which can be solved efficiently with polynomial-time algorithms to a global optimum.