Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
Abstract: This paper presents a comprehensive trajectory and flow optimization framework in multi-part, multi-location pick-and-place operations using Nonlinear Model Predictive Control (NLMPC). The ...
Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions and clinical outcomes, medical devices are modeled and assessed on virtual ...
This article is published inTsinghua Science and Technology(Tsinghua University Journal of Science and Technology, Natural ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
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Deep Learning Revolutionizes Biodiesel Production
The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...
Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...
Stacking glass for high-frequency applications Glass is ideal for 6G wireless communication networks, which must support >100 ...
Closed-circuit reverse osmosis (CCRO) offers a flexible and energy-efficient alternative to conventional reverse osmosis by operating in a semi-batch mode that recycles brine, enabling higher recovery ...
Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...
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