Current browse context:
eess.SY
Change to browse by:
References & Citations
Electrical Engineering and Systems Science > Systems and Control
Title: SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study
(Submitted on 1 Mar 2024)
Abstract: In this work we analyze the effectiveness of the Sparse Identification of Nonlinear Dynamics (SINDy) technique on three benchmark datasets for nonlinear identification, to provide a better understanding of its suitability when tackling real dynamical systems. While SINDy can be an appealing strategy for pursuing physics-based learning, our analysis highlights difficulties in dealing with unobserved states and non-smooth dynamics. Due to the ubiquity of these features in real systems in general, and control applications in particular, we complement our analysis with hands-on approaches to tackle these issues in order to exploit SINDy also in these challenging contexts.
Submission history
From: Aurelio Raffa Ugolini [view email][v1] Fri, 1 Mar 2024 14:58:36 GMT (116kb,D)
Link back to: arXiv, form interface, contact.