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 language | English |
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Title of host publication | Proceedings of the 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024) |
Publisher | IFAC-PapersOnLine |
Publication status | Accepted/In press - 2024 |
Event | 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024) - Cambridge, United Kingdom Duration: 19-Aug-2024 → 23-Aug-2024 |
Conference
Conference | 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2024) |
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Country/Territory | United Kingdom |
City | Cambridge |
Period | 19/08/2024 → 23/08/2024 |
Keywords
- Port-Hamiltonian Systems, Nonlinear Systems and Control