This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .

Abstract: This article focuses on the development of a model predictive control (MPC) for a modular multilevel converter (MMC)-based medium voltage microgrid. The developed MPC is aimed to effectively ...

Abstract: Finite Control Set Model Predictive Control (FCSMPC) has gained widespread attention in power electronics for its fast dynamic response and multi-objective control capability. However, ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Building systems are dynamic and non-linear. In HVAC systems, independently controlled modules interact, creating complex interdependencies that challenge optimizing energy savings and thermal comfort ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

In today’s business world, it’s vital to be strategic and forward-thinking. Predictive analytics can help businesses determine potential outcomes and avoid unnecessary losses. With mountains of data ...

Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China School of Chemical Engineering, University of Chinese Academy of ...

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