Year: 2024
Type: preprint
Abstract: We present a pragmatic approach to the sparse identification of nonlinear dynamics for systems with discrete delays. It relies on approximating the underlying delay model with a system of ordinary differential equations via pseudospectral collocation. To minimize the reconstruction error, the new strategy avoids optimizing all possible multiple unknown delays, identifying only the maximum one. The computational burden is thus greatly reduced, improving the performance of recent implementations that work directly on the delay system.
Source: arXiv (Cornell University)
Authors: Bozzo, Enrico, Breda, Dimitri, Tanveer, Muhammad
Institution: University of Udine
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Award: G429930536
OpenAlex ID: W4403368744