A team of Chinese researchers has developed an AI-based modeling approach that revolutionizes the prediction of complex ...
Abstract: This paper investigates the problem of fixed-time stability of nonlinear systems subject to destabilizing delayed impulses. The existing literature usually uses inequality-based techniques ...
Abstract: This paper presents a novel robust predictive controller for constrained nonlinear systems that is able to track piece-wise constant setpoint signals. The tracking model predictive ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback