Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

In this paper, we present a data-driven regression approach to identify parametric governing
equations from time-series data. Iterative computations are performed for each time stamp to …

This work concerns the application of physics‐informed neural networks to the modeling and
control of complex robotic systems. Achieving this goal requires extending physics‐informed …

Over the past few decades, unmanned surface vehicles (USV) have drawn a lot of attention.
But because of the wind, waves, currents, and other sporadic disturbances, it is challenging …

A systematic method is developed in this research to reconstruct a flow field from only a few
point measurements. The presented formulations give an estimate of flow fields instead of …