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Control of general time delay systems using Matlab toolbox

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dc.title Control of general time delay systems using Matlab toolbox en
dc.contributor.author Dlapa, Marek
dc.relation.ispartof International Journal of Circuits, Systems and Signal Processing
dc.identifier.issn 1998-4464 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 6
utb.relation.issue 6
dc.citation.spage 385
dc.citation.epage 393
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN) en
dc.relation.uri http://www.naun.org/multimedia/NAUN/circuitssystemssignal/16-622.pdf
dc.subject Algebraic approach en
dc.subject Robust control en
dc.subject RQ meromorphic functions en
dc.subject Structured singular value en
dc.subject Uncertain time delay systems en
dc.description.abstract The aim of this paper is to show an application of Matlab toolbox "Robust Control Toolbox for Time Delay Systems with Time Delay in Numerator and Denominator". The solved problem is robust control of time delay system with time delay in numerator and denominator of the controlled plant. This type of problem is usually solved in the ring of retarded quasipolynomial (RQ) meromorphic functions. This approach can solve the task for nominal plants but it is not easy to apply this technique if the plant has uncertain time delays. In this paper, the plant is defined as a system with uncertain time delays which can vary in predefined intervals. A method handling this problem in the robust sense is derived and implemented using both the D-K iteration and algebraic approach. The D-K iteration is a standard method in the structured singular value framework. However, some remaining issues are present, such as nonzero steady-state error and the necessity of approximation of the resulting controller with low order system due to its high complexity. A solution the algebraic approach combining the structured singular value, algebraic theory and global optimization method can give. Here, Differential Migration is used providing high efficiency in finding the global extreme and reliable results. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003226
utb.identifier.rivid RIV/70883521:28140/12:43868355!RIV13-MSM-28140___
utb.identifier.obdid 43868455
utb.identifier.scopus 2-s2.0-84876948744
utb.source j-scopus
dc.date.accessioned 2013-05-22T11:53:00Z
dc.date.available 2013-05-22T11:53:00Z
utb.contributor.internalauthor Dlapa, Marek
utb.fulltext.affiliation Marek Dlapa M. Dlapa is with the Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 05 Zlin, Czech Republic (fax: +420 57 603 5279; e-mail: dlapa@fai.utb.cz).
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Automation and Control Engineering
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