Data-Driven Modeling of Parameterized Nonlinear Dynamical Systems with a Dynamics-Embedded Conditional Generative Adversarial Network

An Online Data-Driven Method to Locate Forced Oscillation Sources From Power Plants Based on Sparse Identification of Nonlinear Dynamics (SINDy)

(2022) Yaojie Cai et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Hierarchical deep learning for data-driven identification of reduced-order models of nonlinear dynamical systems

(2021) Shanwu Li et al.   NONLINEAR DYNAMICS

Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

(2021) Thomas Simpson et al.   JOURNAL OF ENGINEERING MECHANICS

Data-driven identification of nonlinear normal modes via physics-integrated deep learning

(2021) Shanwu Li et al.   NONLINEAR DYNAMICS

On the application of generative adversarial networks for nonlinear modal analysis

(2021) G. Tsialiamanis et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network

(2020) M. Cheng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics

(2020) Kadierdan Kaheman et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data

(2019) Chao Ren et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Learning inverse kinematics and dynamics of a robotic manipulator using generative adversarial networks

(2019) Hailin Ren et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Sparse identification of nonlinear dynamics for rapid model recovery

(2018) Markus Quade et al.   CHAOS

Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio

(2018) Shunlong Li et al.   ENGINEERING STRUCTURES

Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression

(2018) Shanwu Li et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

tempoGAN

(2018) You Xie et al.   ACM TRANSACTIONS ON GRAPHICS

Nonlinear modal analysis via non-parametric machine learning tools

(2018) Nikolaos Dervilis et al.   STRAIN

Deep learning for universal linear embeddings of nonlinear dynamics

(2018) Bethany Lusch et al.   Nature Communications

A machine learning approach to nonlinear modal analysis

(2017) K. Worden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations

(2016) Yuequan Bao et al.   Structural Control & Health Monitoring

Characteristics analysis and parametric study of a thermoelectric generator by considering variable material properties and heat losses

(2015) Jing-Hui Meng et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Universal Parametric Geometry Representation Method

(2008) B. M. Kulfan   JOURNAL OF AIRCRAFT