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Systems with nonlinear uncertainty structure: Robust stability analysis

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dc.title Systems with nonlinear uncertainty structure: Robust stability analysis en
dc.contributor.author Matušů, Radek
dc.contributor.author Prokop, Roman
dc.relation.ispartof Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783901509704
dc.date.issued 2009
dc.citation.spage 1373
dc.citation.epage 1374
dc.event.title Annals of DAAAM for 2009 and 20th International DAAAM Symposium Intelligent Manufacturing and Automation: Focus on Theory
dc.event.location Vienna
utb.event.state-en Austria
utb.event.state-cs Rakousko
dc.event.sdate 2009-11-25
dc.event.edate 2009-11-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Danube Adria Association for Automation and Manufacturing, DAAAM
dc.relation.uri https://www.thefreelibrary.com/Systems+with+nonlinear+uncertainty+structure%3a+robust+stability...-a0224712878
dc.subject Parametric uncertainty en
dc.subject Polynomial toolbox en
dc.subject Robustness en
dc.subject Stability analysis en
dc.description.abstract Systems with parametric uncertainty have known structure but their parameters can vary within given or supposed intervals. This type of uncertainty may appear during modelling and description of real systems as a consequence of inaccurate measurement, identification, due to ambient conditions, etc. This contribution is focused on description of systems with nonlinear parametric uncertainty structure and on demonstration of possible graphical robust stability testing for this class of systems with special emphasis on utilization of The Polynomial Toolbox for Matlab. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005206
utb.identifier.rivid RIV/70883521:28140/09:63507874!RIV10-MSM-28140___
utb.identifier.obdid 43859360
utb.identifier.scopus 2-s2.0-84904358011
utb.source d-scopus
dc.date.accessioned 2015-06-29T11:54:25Z
dc.date.available 2015-06-29T11:54:25Z
utb.contributor.internalauthor Matušů, Radek
utb.contributor.internalauthor Prokop, Roman
utb.fulltext.affiliation MATUSU, R[adek] & PROKOP, R[oman]
utb.fulltext.dates -
utb.fulltext.references Ackermann, J.; Bartlett, A.; Kaesbauer, D.; Sienel, W. & Steinhauser, R. (1993). Robust Control – Systems with Uncertain Physical Parameters. Springer-Verlag, ISBN 3-540-19843-1, London, Great Britain Barmish, B. R. (1994). New Tools for Robustness of Linear Systems. Macmillan, ISBN 0-02-306055-7, New York, USA Bhattacharyya, S. P.; Chapellat, H. & Keel, L. H. (1995). Robust Control: The Parametric Approach, Prentice Hall, ISBN 978-0137815760, Englewood Cliffs, New Jersey, USA Kučera, V. (2001). Robustní regulátory (Robust Controllers). Automa, Vol. 7, No. 6, pp. 43-45. (In Czech) Matušů, R. & Prokop, R. (2008). Robust Stability of Systems with Parametric Uncertainty. Archives of Control Sciences, Vol. 18(LIV), No. 1, pp. 73-87, ISSN 0004-072X Polyx: The Polynomial Toolbox. [Online]. [Accessed July 24, 2009]. Available from WWW: http://www.polyx.com/ Sánchez-Peña, R. & Sznaier, M. (1998). Robust Systems: Theory and Applications, John Wiley & Sons, ISBN 978-0471176275, New York, USA Šebek, M.; Hromčík, M. & Ježek, J. (2000). Polynomial Toolbox 2.5 and Systems with Parametric Uncertainties, Proceedings of the 3rd IFAC Symposium on Robust Control Design, Prague, Czech Republic, 2000
utb.fulltext.sponsorship The work was supported by the Ministry of Education, Youth and Sports of the Czech Republic under Research Plan No. MSM 7088352102. This assistance is very gratefully acknowledged
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