Interpretable System Identification

Fri, 01 Sep 2023 00:00:00 +0000

Black-box surrogates are fast but hard to trust. This line of work replaces them with identified models whose structure can be read and checked: sparse latent dynamics, port-Hamiltonian structure that guarantees passivity, and probabilistic coefficients that quantify uncertainty.

Key results are VENI, VINDy, VICI, a generative reduced-order modeling framework combining variational autoencoders with a probabilistic extension of SINDy, and the data-driven identification of latent port-Hamiltonian systems.

System Identification | Jonas Kneifl

Interpretable System Identification