Abstract
This article presents a new LMI-based approach for the \mathcal{H-{\infty}} model order reduction problem of continuous-time uncertain linear systems over frequency ranges. Differently from the previous methods in the literature, the approach is specially developed to treat uncertain systems, being able not only to reduce the order of the system, but to remove uncertain parameters. By means ofthe generalized Kalman-Yakubovich-Popov (gKYP) Lemma design conditions are provided in terms of LMIs relaxations associated to scalar searches and iterative procedures to assess low-frequency specifications. Numerical examples from the literature are used to illustrate the potentialities of the proposed approach when compared to existing methods.
Original language | English |
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Title of host publication | 2018 European Control Conference, ECC 2018 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 2616-2622 |
Number of pages | 7 |
ISBN (Electronic) | 9783952426982 |
DOIs | |
Publication status | Published - 27 Nov 2018 |
Event | 16th European Control Conference, ECC 2018 - Limassol, Cyprus, Limassol, Cyprus Duration: 12 Jun 2018 → 15 Jun 2018 Conference number: 16 |
Conference
Conference | 16th European Control Conference, ECC 2018 |
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Abbreviated title | ECC 2018 |
Country/Territory | Cyprus |
City | Limassol |
Period | 12/06/18 → 15/06/18 |
Keywords
- finite frequency
- H∞ norm
- KYP
- LMI relaxations
- Model reduction
- uncertain linear systems