Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
Drawing on the job demands-resources (JD-R) theory, this study aims to analyze the impact of algorithmic control on the well-being of delivery drivers by focusing on the mediating role of job demands ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
A new AI model called popEVE can predict how likely each variant in a patient’s genome is to cause disease. The team is testing popEVE in clinical settings to see if it can speed accurate diagnoses of ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Proliferating cells coordinate their growth and division to maintain a typical size across generations. Prevalent models of cell-size regulation commonly assume that cell size at division depends ...
Understanding how spaceflight impacts the human brain is crucial as space exploration and tourism expand. We find that the brain shifts upward and backward within the skull following spaceflight, with ...
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