Systems with nonlinear uncertainty structure: Robust stability analysis

Matušů, Radek; Prokop, Roman

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	978-3-901509-70-4
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
dc.rights.uri	https://open.k.utb.cz/blog/2021/04/19/daaam/
dc.rights.access	openAccess
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