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20212024
most citedPhysics-integrated hybrid framework for model form error identification in nonlinear dynamical systems

27 citations · 29 across the 6 of their papers we have counts for

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6 papers

math.DS2024

Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems

Tapas Tripura, Satyam Panda, Budhaditya Hazra +1

Exploring the intersection of deterministic and stochastic dynamics, this paper delves into Lagrangian discovery for conservative and non-conservative systems under stochastic exci…

eess.SY2023★ 1 cited

Mastering Complex Modes: A New Method for Real-Time Modal Identification of Vibrating Systems

Satyam Panda, Sanghamitra Das, Basuraj Bhowmik +1

A novel algorithm for real-time modal identification in linear vibrating systems with complex modes is introduced, utilizing a combination of first order eigen-perturbation and sec…

stat.ML2021★ 27 cited

Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems

Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra

For real-life nonlinear systems, the exact form of nonlinearity is often not known and the known governing equations are often based on certain assumptions and approximations. Such…

math.NA2021★ 1 cited

Generalized weakly corrected Milstein solutions to stochastic differential equations

Tapas Tripura, Budhaditya Hazra, Souvik Chakraborty

In this work, weakly corrected explicit, semi-implicit and implicit Milstein approximations are presented for the solution of nonlinear stochastic differential equations. The solut…

math.NA2021

A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems

Tapas Tripura, Mohammad Imran, Budhaditya Hazra +1

The present study utilizes the Girsanov transformation based framework for solving a nonlinear stochastic dynamical system in an efficient way in comparison to other available appr…

stat.ML2021

Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system

Shailesh Garg, Ankush Gogoi, Souvik Chakraborty +1

The potential of digital twin technology is immense, specifically in the infrastructure, aerospace, and automotive sector. However, practical implementation of this technology is n…