Abstract: Traditional model predictive control (MPC) methods rely heavily on accurate system models. However, obtaining precise models for real-world systems is often challenging, which may lead to ...

Abstract: The technology of autonomous vehicles is advancing rapidly, relying heavily on high-precision simulations and high-performance controllers. This study uses actual driving data to model ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...

Cyberabad Police on Wednesday reviewed the adoption of Artificial Intelligence-based predictive traffic management systems, aligned with European standards, at a meeting held at the SCSC Meeting Hall, ...

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

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Give the tool a prompt—an image, say, or a brief snippet of text—and it will generate an interactive world for the user to explore. Type in a straightforward request, and the result is a realistic ...