File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: LMI-based determination of the peak of the response of structured polytopic linear systems

TitleLMI-based determination of the peak of the response of structured polytopic linear systems
Authors
KeywordsDynamical systems
Linear systems
LMI
Lyapunov methods
Optimization
Output response
peak
Time-varying systems
uncertainty
Uncertainty
Upper bound
Issue Date1-Jan-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, v. 70, n. 1, p. 435-446 How to Cite?
Abstract

This paper addresses the problem of determining the peak of the response to a linear time-invariant (LTI) signal of a linear system whose system matrices are rational functions of an uncertainty vector constrained into a convex bounded polytope. The uncertainty can be time-invariant, bounded-rate time-varying or arbitrarily time-varying. A novel approach based on linear matrix inequalities (LMIs) is proposed for obtaining upper bounds of the sought peak based on the construction of a structured polynomial Lyapunov function in the state and in the uncertainty. A priori and a posteriori conditions for establishing optimality of the obtained upper bounds are also provided. As shown by some numerical examples, which includes the model of an electric circuit, the proposed approach may have significant advantages with respect to the existing methods in terms of conservatism or computational burden.


Persistent Identifierhttp://hdl.handle.net/10722/329109
ISSN
2023 Impact Factor: 5.2
2023 SCImago Journal Rankings: 1.836
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChesi, Graziano-
dc.contributor.authorShen, Tiantian-
dc.date.accessioned2023-08-05T07:55:22Z-
dc.date.available2023-08-05T07:55:22Z-
dc.date.issued2023-01-01-
dc.identifier.citationIEEE Transactions on Circuits and Systems I: Regular Papers, 2023, v. 70, n. 1, p. 435-446-
dc.identifier.issn1549-8328-
dc.identifier.urihttp://hdl.handle.net/10722/329109-
dc.description.abstract<p>This paper addresses the problem of determining the peak of the response to a linear time-invariant (LTI) signal of a linear system whose system matrices are rational functions of an uncertainty vector constrained into a convex bounded polytope. The uncertainty can be time-invariant, bounded-rate time-varying or arbitrarily time-varying. A novel approach based on linear matrix inequalities (LMIs) is proposed for obtaining upper bounds of the sought peak based on the construction of a structured polynomial Lyapunov function in the state and in the uncertainty. A priori and a posteriori conditions for establishing optimality of the obtained upper bounds are also provided. As shown by some numerical examples, which includes the model of an electric circuit, the proposed approach may have significant advantages with respect to the existing methods in terms of conservatism or computational burden.<br></p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Circuits and Systems I: Regular Papers-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDynamical systems-
dc.subjectLinear systems-
dc.subjectLMI-
dc.subjectLyapunov methods-
dc.subjectOptimization-
dc.subjectOutput response-
dc.subjectpeak-
dc.subjectTime-varying systems-
dc.subjectuncertainty-
dc.subjectUncertainty-
dc.subjectUpper bound-
dc.titleLMI-based determination of the peak of the response of structured polytopic linear systems-
dc.typeArticle-
dc.identifier.doi10.1109/TCSI.2022.3210934-
dc.identifier.scopuseid_2-s2.0-85139817040-
dc.identifier.volume70-
dc.identifier.issue1-
dc.identifier.spage435-
dc.identifier.epage446-
dc.identifier.eissn1558-0806-
dc.identifier.isiWOS:000865068000001-
dc.identifier.issnl1549-8328-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats