Interpolation-based H2 model reduction for port-Hamiltonian systems

S. Gugercin, R.V. Polyuga, C.A. Beattie, A.J. Schaft, van der

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    22 Citations (Scopus)
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    Port network modeling of physical systems leads directly to an important class of passive state space systems: port-Hamiltonian systems. We consider here methods for model reduction of large scale port-Hamiltonian systems that preserve port-Hamiltonian structure and are capable of yielding reduced order models that satisfy first-order optimality conditions with respect to an H2 system error metric. The methods we consider are closely related to rational Krylov methods and variants are described using both energy and co-energy system coordinates. The resulting reduced models have port-Hamiltonian structure and therefore are guaranteed passive, while still retaining the flexibility to interpolate the true system transfer function at any (complex) frequency points that are desired.
    Original languageEnglish
    Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control (CDC 2009, Shanghai, China, December 15-18, 2009)
    PublisherInstitute of Electrical and Electronics Engineers
    ISBN (Print)978-1-4244-3871-6
    Publication statusPublished - 2009


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