Work

Structure-Preserving Approximate Balanced Reduction of Interconnected Structural-Dynamics Models

Year: 2025

Type: conference-paper

Abstract: This paper considers the problem of complexity reduction of large-scale interconnected structural-dynamics models. On the one hand, traditional CMS-based reduction methods for such problems often fail to sufficiently reduce the order of these models. On the other hand, the large-scale nature of these models obstructs direct application of more effective balanced reduction methods. To address this challenge, we propose a synergetic approach that combines several structurepreserving balanced truncation methods with various efficient Gramian approximation techniques. A comparative study of the effectiveness and computational efficiency of the resulting methods is performed by using those to reduce a structuraldynamics model from the lithography industry.

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta53793.2025.11151314

Authors: Luuk Poort, Victor S. Dolk, Rob H.B. Fey, Bart Besselink, Nathan van de Wouw

Institutions: Eindhoven University of Technology, ASML (Netherlands), University of Groningen

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4414117884

FWCI:

Cites: 30

Cited by:

Related to: 10