This article presents novel methods for synthesizing distributionally robust stabilizing neural controllers and certificates for control systems under model uncertainty. A key challenge in designing controllers with stability guarantees for uncertain systems is the accurate determination of and adaptation to shifts in model parametric uncertainty during online deployment. We tackle th... https://www.learningepistemology.com/product-category/hair-mask/
Distributionally Robust Policy and Lyapunov-Certificate Learning
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