At the center of this shift is the convergence of two systems that were never designed to operate together on American ...
Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
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 ...
Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...
The market could be ready for movement way sooner than most anticipate: as soon as trading opens in the U.S. Disclaimer: The opinions expressed by our writers are their own and do not represent the ...
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