Petrov-Galerkin operator inference with application to stability-encouraging identification
This work extends operator inference to use Petrov–Galerkin projections for reduced-order models, specifically targeting stability and passivity in linear time-invariant systems. It develops a framework showing how nonintrusive operators relate to intrusive ones and introduces a convex optimization method to identify port-Hamiltonian systems without needing the exact Hamiltonian matrix.