Lumped Parameter Port-Hamiltonian Modeling and Order Reduction of Flexible Structures (I)

Arijit Sarkar, Danny Dirksz, Jacquelien M.A. Scherpen

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Abstract

In this work, we consider a scalable lumped-parameter model of the flexible structure in the port-Hamiltonian framework. We then propose a structure-preserving model reduction approach in the contraction framework. The contraction framework facilitates performing model reduction not around an equilibrium point, but rather along a trajectory of the system. As the interconnection matrix and the dissipation matrix are constant for the discretized model, the variational system provides the flexibility to preserve the port-Hamiltonian structure for the reduced-order model along a trajectory.
Original languageEnglish
Title of host publicationProceedings of the 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024)
PublisherIFAC-PapersOnLine
Publication statusAccepted/In press - 2024
Event26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024) - Cambridge, United Kingdom
Duration: 19-Aug-202423-Aug-2024

Conference

Conference26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024)
Country/TerritoryUnited Kingdom
CityCambridge
Period19/08/202423/08/2024

Keywords

  • Port-Hamiltonian Systems, Nonlinear Systems and Control

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