Data-driven spectral submanifold reduction produces low-dimensional delay-free ODE models for nonlinear delayed dynamical systems from measurements alone.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A new data-synthesized instrumental variable estimator achieves finite-sample Lp consistency with sqrt(n) rate for linear-in-parameters models in discrete and continuous time, cutting bias by hundreds of times on Lorenz examples.
citing papers explorer
-
Data-Driven Reduced Modeling of Delayed Dynamical Systems via Spectral Submanifolds
Data-driven spectral submanifold reduction produces low-dimensional delay-free ODE models for nonlinear delayed dynamical systems from measurements alone.
-
Instrumental variables system identification with $L^p$ consistency
A new data-synthesized instrumental variable estimator achieves finite-sample Lp consistency with sqrt(n) rate for linear-in-parameters models in discrete and continuous time, cutting bias by hundreds of times on Lorenz examples.