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dc.title | Adaptive control of technological processes based on dual Youla-Kucera parametrization | en |
dc.contributor.author | Gazdoš, František | |
dc.contributor.author | Dostál, Petr | |
dc.relation.ispartof | Adaptation and Learning in Control and Signal Processing 2001 | |
dc.identifier.isbn | 0-08-043683-8 | |
dc.date.issued | 2002 | |
dc.citation.spage | 467 | |
dc.citation.epage | 471 | |
dc.event.title | IFAC Workshop on Adaptation and Learning in Control and Signal Processing | |
dc.event.location | Cernobbio Como | |
utb.event.state-en | Italy | |
utb.event.state-cs | Itálie | |
dc.event.sdate | 2001-08-29 | |
dc.event.edate | 2001-08-31 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Pergamon Elsevier Science Ltd. | en |
dc.relation.uri | http://med.ee.nd.edu/MED11/pdf/papers/iv04-02.pdf | |
dc.subject | adaptive control | en |
dc.subject | closed-loop identification | en |
dc.subject | parametrization | en |
dc.subject | multivariable systems | en |
dc.subject | iterative methods | en |
dc.subject | control system design | en |
dc.subject | parameter estimation | en |
dc.description.abstract | The paper deals with adaptive control of multivariable technological processes. An iterative scheme of the closed-loop identification and control design based on the dual Youla-Kucera parametrization is employed. Modifying the original algorithm, it is not necessary to do a model reduction. In addition, the number of identified coefficients decrease significantly. The method is illustrated and proved on a simulation study. Copyright (C) 2001 IFAC. | en |
utb.faculty | Faculty of Technology | |
dc.identifier.uri | http://hdl.handle.net/10563/1002016 | |
utb.identifier.wok | 000179448400076 | |
utb.source | d-wok | |
dc.date.accessioned | 2011-08-09T07:34:31Z | |
dc.date.available | 2011-08-09T07:34:31Z | |
utb.contributor.internalauthor | Gazdoš, František | |
utb.contributor.internalauthor | Dostál, Petr |