Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems
Exploring the intersection of deterministic and stochastic dynamics, this paper delves into
Lagrangian discovery for conservative and non-conservative systems under stochastic …
Lagrangian discovery for conservative and non-conservative systems under stochastic …
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data
T Tripura, S Chakraborty - Mechanical Systems and Signal Processing, 2024 - Elsevier
Learning and predicting the dynamics of physical systems requires a profound
understanding of the underlying physical laws. Recent works on learning physical laws …
understanding of the underlying physical laws. Recent works on learning physical laws …
Discovering governing equation in structural dynamics from acceleration-only measurements
C Alvares, S Chakraborty - arXiv preprint arXiv:2407.13704, 2024 - arxiv.org
Over the past few years, equation discovery has gained popularity in different fields of
science and engineering. However, existing equation discovery algorithms rely on the …
science and engineering. However, existing equation discovery algorithms rely on the …