Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
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 ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
Find out how and why mathematics is used in microeconomics, its limitations, and the math skills that economics students need.
Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...
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