Corpus ID: 119291154

Model reduction techniques for linear constant coefficient port-Hamiltonian differential-algebraic systems

@inproceedings{Hauschild2019ModelRT,
  title={Model reduction techniques for linear constant coefficient port-Hamiltonian differential-algebraic systems},
  author={Sarah-Alexa Hauschild and Nicole Marheineke and Volker Mehrmann},
  year={2019}
}
Port-based network modeling of multi-physics problems leads naturally to a formulation as port-Hamiltonian differential-algebraic system. In this way, the physical properties are directly encoded in the structure of the model. Since the state space dimension of such systems may be very large, in particular when the model is a space-discretized partial differential-algebraic system, in optimization and control there is a need for model reduction methods that preserve the port-Hamiltonian… CONTINUE READING

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