Abstract
We present a new structure-preserving model order reduction (MOR) framework for large-scale port-Hamiltonian descriptor systems (pH-DAEs). Our method exploits the structural properties of the Rosenbrock system matrix for this system class and utilizes condensed forms which often arise in applications and reveal the solution behaviour of a system. Provided that the original system has such a form, our method produces reduced-order models (ROMs) of minimal dimension, which tangentially interpolate the original model’s transfer function and are guaranteed to be again in pH-DAE form. This allows the ROM to be safely coupled with other dynamical systems when modelling large system networks, which is useful, for instance, in electric circuit simulation.
| Original language | English |
|---|---|
| Pages (from-to) | 210-235 |
| Number of pages | 26 |
| Journal | Mathematical and Computer Modelling of Dynamical Systems |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
Keywords
- Port-Hamiltonian systems
- differential-algebraic systems
- structure-preserving model reduction
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