Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems ...
Abstract: In the research on stabilizing continuous-time randomly sampled systems (RSSs) via a discrete-time approach, the objects of analysis and synthesis are mostly discrete-time stochastic models ...
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