Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Deep state space model (DSSM) are a temporal model that is actively researched. It combines deep neural networks with classic state space model (SSM) so that it can be used for prediction ...
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Spirit Airlines burns $47M monthly as operations collapse—hundreds of flights canceled nationwide
On a single winter day in early January 2026, one struggling carrier managed to account for nearly a third of all canceled ...
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