Yu-Shu Gao

Robust Low-Rank Tensor Approximation of Koopman Operators from Incomplete and Contaminated Lifted Data

Tensor-product dictionaries improve the expressiveness of finite-dimensional Koopman models but produce exponentially large dense operators, while least-squares fitting is sensitive to incomplete and contaminated data. We propose a robust tensor Koopman operator (RTKO) estimator for fully observed current states and pa...