Subspace identification of linear systems with partial eigenvalue constraints.

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dc.contributor.authorRicco, Rodrigo Augusto
dc.contributor.authorVerly, Anny
dc.contributor.authorPaula, Marcus Vinicius de
dc.contributor.authorTeixeira, Bruno Otávio Soares
dc.date.accessioned2020-10-24T14:48:55Z
dc.date.available2020-10-24T14:48:55Z
dc.date.issued2019pt_BR
dc.description.abstractFor subspace identification methods with eigenvalue constraints, the constraints are enforced by means of an optimization problem subject to LMI constraints. First principals or step response tests could be used as a source of auxiliary information in order to build LMI regions. In these cases, all the eigenvalues of the identified state-space model are subject to the same constraints. However, it often happens that the non-dominant eigenvalues have larger real part or larger natural frequencies. In this paper, we propose a two-step method in order to constrain the dominant dynamics of SISO models into LMI regions. In virtue of this result, in addition, the model eigenvalues could be constrained into disjoint LMI regions. Numerical examples illustrate the effectiveness of our proposed method.pt_BR
dc.identifier.citationRICCO, R. A. et al. Subspace identification of linear systems with partial eigenvalue constraints. IEEE Latin America Transactions, v. 17, n. 2, p. 288-296, fev. 2019. Disponível em: <https://ieeexplore.ieee.org/document/8863175>. Acesso em: 10 mar. 2020.pt_BR
dc.identifier.doihttps://doi.org/10.1109/TLA.2019.8863175pt_BR
dc.identifier.issn1548-0992
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/12877
dc.identifier.uri2https://ieeexplore.ieee.org/document/8863175pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectGray-box identificationpt_BR
dc.subjectLinear matrix inequalitiespt_BR
dc.subjectSingle-input single-output systemspt_BR
dc.titleSubspace identification of linear systems with partial eigenvalue constraints.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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