Nonlinear Hamiltonian Systems Under Sampling

Authors

Salvatore Monaco, Dorothee Normand-Cyrot, Mattia Mattioni, Alessio Moreschini

Abstract

This article investigates the transformation of Hamiltonian structures under sampling. It is shown that the exact sampled equivalent model associated to a given port-Hamiltonian continuous-time dynamics exhibits a discrete-time representation in terms of the discrete gradient, with the same energy function but modified damping and interconnection matrices. By construction, the proposed sampled-data dynamics guarantees exact matching of both the state evolutions and the energy-balance at all sampling instants. Its generalization to port-controlled Hamiltonian dynamics leads to characterize a new power conjugate output so recovering the concept of average passivation. On these bases, energy-management control strategies can be proposed. An energetic interpretation of the approach is confirmed by its formulation in the Dirac formalism. Two classical examples are worked out to validate the proposed sampled-data modeling in a comparative way with the literature.

Citation

• Journal: IEEE Transactions on Automatic Control
• Year: 2022
• Volume: 67
• Issue: 9
• Pages: 4598–4613
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• DOI: 10.1109/tac.2022.3164985

BibTeX

@article{Monaco_2022,
  title={{Nonlinear Hamiltonian Systems Under Sampling}},
  volume={67},
  ISSN={2334-3303},
  DOI={10.1109/tac.2022.3164985},
  number={9},
  journal={IEEE Transactions on Automatic Control},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  author={Monaco, Salvatore and Normand-Cyrot, Dorothee and Mattioni, Mattia and Moreschini, Alessio},
  year={2022},
  pages={4598--4613}
}

Download the bib file

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