Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching
Systems and Control
2024-12-20 v1 Numerical Analysis
Systems and Control
Dynamical Systems
Numerical Analysis
Abstract
In this paper, a practicable simulation-free model order reduction method by nonlinear moment matching is developed. Based on the steady-state interpretation of linear moment matching, we comprehensively explain the extension of this reduction concept to nonlinear systems presented in [1], provide some new insights and propose some simplifications to achieve a feasible and numerically efficient nonlinear model reduction algorithm. This algorithm relies on the solution of nonlinear systems of equations rather than on the expensive simulation of the original model or the difficult solution of a nonlinear partial differential equation.
Keywords
Cite
@article{arxiv.1901.10750,
title = {Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching},
author = {Maria Cruz Varona and Raphael Gebhart and Julian Suk and Boris Lohmann},
journal= {arXiv preprint arXiv:1901.10750},
year = {2024}
}
Comments
7 pages, 3 figures; submitted to ECC 2019