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Preprint (15)
2023
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
Preprint
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. (2023)
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
Preprint
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
2021
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Preprint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)
2020
Preprint
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. (2020)
2017
Preprint
Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems. (2017)