A parametric analysis method translates quadratic regularization effects in data-driven LQR from auxiliary variables to system quantities for better interpretability and reduced computation.
Data-enabled policy opti- mization for direct adaptive learning of the LQR.IEEE Transactions on Automatic Control, 70(11), 7217–7232, 2025
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On the Effect of Quadratic Regularization in Direct Data-Driven LQR
A parametric analysis method translates quadratic regularization effects in data-driven LQR from auxiliary variables to system quantities for better interpretability and reduced computation.