Learning Data-Driven PCHD Models for Control Engineering Applications

@article{Junker2022LearningDP,
  title={Learning Data-Driven PCHD Models for Control Engineering Applications},
  author={Annika Junker and Julia Timmermann and Ansgar Tr{\"a}chtler},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.09436}
}
: The design of control engineering applications usually requires a model that accurately represents the dynamics of the real system. In addition to classical physical modeling, powerful data-driven approaches are increasingly used. However, the resulting models are not necessarily in a form that is advantageous for controller design. In the control engineering domain, it is highly beneficial if the system dynamics is given in PCHD form (Port-Controlled Hamiltonian Systems with Dissipation… 

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