EXP-LQR tunes LQR feedback gains from finite-time cost measurements alone, using sinusoidal perturbations and averaging theory to converge near the optimal gain.
Data-driven finite-horizon optimal control for linear time-varying discrete-time systems,
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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.