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2025
Supervised learning of the Jaynes–Cummings Hamiltonian
Scientific Reports
2024
Statistical information of low-dimensional processes hidden in random state data
Nonlinear Dynamics
2023
Extracting conservative equations from nonconservative state data
Journal of the Mechanics and Physics of Solids
2023
Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method
Scientific Reports
2023
On Learning Mechanical Laws of Motion From Video Using Neural Networks
IEEE Access
2022
Neural Network for Principle of Least Action
Journal of Chemical Information and Modeling
2022
Proceedings of the Genetic and Evolutionary Computation Conference Companion
2021
Variational integrator graph networks for learning energy-conserving dynamical systems
Physical Review E
2021
Learning models of quantum systems from experiments
Nature Physics
2021
Deriving equations from sensor data using dimensional function synthesis
Communications of the ACM
2021
A Data-Driven Method Based on Quadratic Programming for Distance-Based Formation Control of Euler–Lagrange Systems
IEEE Control Systems Letters
2021
Learning Hamiltonian Systems considering System Symmetries in Neural Networks
IFAC-PapersOnLine
2020
Safe Controller Synthesis for Data-Driven Differential Inclusions
IEEE Transactions on Automatic Control
2020
2020 59th IEEE Conference on Decision and Control (CDC)
2019
2019 American Control Conference (ACC)
2018
2018 Annual American Control Conference (ACC)
2017
2017 IEEE 56th Annual Conference on Decision and Control (CDC)
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