OpenAlex ·

Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure

Martina Vanelli, Nima Monshizadeh and Julien M. Hendrickx

Published
Source
OpenAlex
DOI
10.48550/arxiv.2608.31092
Original
Read it at the publisher
Topics
Statistical MechanicsSystems & Control

Abstract

We develop a data-driven framework for nonlinear port-Hamiltonian (pH) systems based on interpolation conditions to characterize consistency between observed data and structured dynamical models. Specifically, we derive necessary and sufficient conditions for the existence of a pH system with a smooth (convex) Hamiltonian instantly consistent with a given dataset, without requiring explicit parametrization. We further provide a semidefinite programming formulation to verify consistency with non-degenerate interconnection and dissipation structures. Our results provide a principled approach to assess instant data consistency with physical structure and pave the way for control design directly from data.

The authors’ abstract, as arXiv lists it. arXiv’s listings, abstracts included, are free for anyone to reuse.

Read it on ReadSearch

Each opens after you create an account, and brings you back to this paper.

Already a reader? Sign in

All new papers in Statistical Mechanics

Get the few papers worth your time in Statistical Mechanics every morning.

ReadSearch reads the new papers in your field each day and brings you the few worth reading, each with its key finding in a sentence.

Papers belong to their authors and publishers; every page here links to the original. All research topics