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Conference Paper: On the topological entropy of continuous-time polytopic systems

TitleOn the topological entropy of continuous-time polytopic systems
Authors
KeywordsTopological entropy
Polytopic systems
LMI
Issue Date2015
PublisherInternational Academy, Research, and Industry Association (IARIA). The Conference proceedings' website is located at http://www.iaria.org/conferences2015/ICAS15.html
Citation
The 11th International Conference on Autonomic and Autonomous Systems (ICAS 2015), Rome, Italy, 24-29 May 2015. In Conference Proceedings, 2015, p. 126-127 How to Cite?
AbstractThis paper investigates the topological entropy of continuous-time polytopic systems. The topological entropy is a measure that quantifies the instability in dynamical linear systems and has important applications in autonomous systems. Polytopic systems are dynamical linear systems whose coefficients are functions of an uncertain vector constrained into a polytope. A novel approach is proposed for establishing upper bounds of the largest topological entropy of continuous-time polytopic systems based on the Routh-Hurwitz stability criterion. The upper bounds are established through Linear Matrix Inequality (LMI) feasibility tests, which amount to solving convex optimization problems. A numerical example illustrates the proposed approach. Copyright (c) IARIA.
DescriptionFree access online proceedings
Persistent Identifierhttp://hdl.handle.net/10722/211439
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChesi, G-
dc.date.accessioned2015-07-14T01:55:23Z-
dc.date.available2015-07-14T01:55:23Z-
dc.date.issued2015-
dc.identifier.citationThe 11th International Conference on Autonomic and Autonomous Systems (ICAS 2015), Rome, Italy, 24-29 May 2015. In Conference Proceedings, 2015, p. 126-127-
dc.identifier.isbn978-1-61208-405-3-
dc.identifier.issn2308-3913-
dc.identifier.urihttp://hdl.handle.net/10722/211439-
dc.descriptionFree access online proceedings-
dc.description.abstractThis paper investigates the topological entropy of continuous-time polytopic systems. The topological entropy is a measure that quantifies the instability in dynamical linear systems and has important applications in autonomous systems. Polytopic systems are dynamical linear systems whose coefficients are functions of an uncertain vector constrained into a polytope. A novel approach is proposed for establishing upper bounds of the largest topological entropy of continuous-time polytopic systems based on the Routh-Hurwitz stability criterion. The upper bounds are established through Linear Matrix Inequality (LMI) feasibility tests, which amount to solving convex optimization problems. A numerical example illustrates the proposed approach. Copyright (c) IARIA.-
dc.languageeng-
dc.publisherInternational Academy, Research, and Industry Association (IARIA). The Conference proceedings' website is located at http://www.iaria.org/conferences2015/ICAS15.html-
dc.relation.ispartofInternational Conference on Autonomic and Autonomous Systems, ICAS 2015-
dc.subjectTopological entropy-
dc.subjectPolytopic systems-
dc.subjectLMI-
dc.titleOn the topological entropy of continuous-time polytopic systems-
dc.typeConference_Paper-
dc.identifier.emailChesi, G: chesi@eee.hku.hk-
dc.identifier.authorityChesi, G=rp00100-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros245061-
dc.identifier.spage126-
dc.identifier.epage127-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150714-

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