Abstract: We present a distributed model predictive control method, which enables a group of agents to compute their control inputs locally while communicating with their neighbors over a ...
Abstract: This article presents a distributed model predictive control algorithm for a scenario of spacecraft formation flying, namely, spacecraft platooning in a leader–follower formation. This ...
1 Institute of Physics, University of Oldenburg, Oldenburg, Germany. 2 Centre for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Roskilde, Denmark. 3 ...
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Hierarchical reinforcement learning boosts air defense efficiency
Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Language switching exemplifies a real-world model of adaptive control, as bilinguals select languages in response to continuously changing contextual demands. Although the Adaptive Control Hypothesis ...
Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...
Arrcus is a leading provider of high-performance routing and switching solutions, enabling organizations to achieve superior ...
Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...
Bitget, the world’s largest Universal Exchange (UEX), announced the addition of Nesa (NES) for spot trading in the AI zone.
WPCafe, a WordPress restaurant plugin developed by Themewinter, today announced the release of a complete AI-powered restaurant management system that consolidates food ordering, table reservations, ...
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