Title:
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On some relaxations commonly used in the study of linear systems (English) |
Author:
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Bachelier, Olivier |
Author:
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Mehdi, Driss |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 (print) |
ISSN:
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1805-949X (online) |
Volume:
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51 |
Issue:
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5 |
Year:
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2015 |
Pages:
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830-855 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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This note proposes a quite general mathematical proposition which can be a starting point to prove many well-known results encountered while studying the theory of linear systems through matrix inequalities, including the S-procedure, the projection lemma and few others. Moreover, the problem of robustness with respect to several parameter uncertainties is revisited owing to this new theorem, leading to LMI (Linear Matrix Inequality)-based conditions for robust stability or performance analysis with respect to ILFR (Implicit Linear Fractional Representation)-based parametric uncertainty. These conditions, though conservative, are computationally very tractable and make a good compromise between conservatism and engineering applicability. (English) |
Keyword:
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LMI relaxations |
Keyword:
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robust analysis |
Keyword:
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parametric uncertainty |
MSC:
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93C05 |
MSC:
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93C35 |
MSC:
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93D09 |
idZBL:
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Zbl 06537783 |
idMR:
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MR3445987 |
DOI:
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10.14736/kyb-2015-5-0830 |
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Date available:
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2015-12-16T19:05:09Z |
Last updated:
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2018-01-10 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/144746 |
. |
Reference:
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