EXP-LQR tunes LQR feedback gains from finite-time cost measurements alone, using sinusoidal perturbations and averaging theory to converge near the optimal gain.
Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming,
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Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration
EXP-LQR tunes LQR feedback gains from finite-time cost measurements alone, using sinusoidal perturbations and averaging theory to converge near the optimal gain.