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dc.title | Remote process control using MATLAB | en |
dc.contributor.author | Sysel, Martin | |
dc.contributor.author | Pomykacz, Ivan | |
dc.relation.ispartof | IFAC Proceedings Volumes (IFAC-PapersOnline) | |
dc.identifier.issn | 1474-6670 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-3-902661-29-6 | |
dc.date.issued | 2007 | |
utb.relation.volume | 9 | |
utb.relation.issue | PART 1 | |
dc.citation.spage | 163 | |
dc.citation.epage | 166 | |
dc.event.title | 9th IFAC Workshop Adaptation and Learning in Control and Signal Processing" | |
dc.event.location | Saint Petersburg | |
utb.event.state-en | Russia | |
utb.event.state-cs | Rusko | |
dc.event.sdate | 2007-08-29 | |
dc.event.edate | 2007-08-31 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.relation.uri | http://lib.physcon.ru/doc?id=04242c0e7897 | |
dc.subject | Adaptive control | en |
dc.subject | Delta models | en |
dc.subject | Remote control | en |
dc.description.abstract | This contribution presents remote process control and monitoring. The developed application MatlabLink enables to create MATLAB applications that use the capabilities of the World Wide Web to send data to MATLAB for computation and to display the running results in a Web browser. The Running results are accessible via Internet. Presented experiment demonstrates properties of delta adaptive controllers and recursive least square methods for the second order systems. Copyright© 2007 IFAC. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1004967 | |
utb.identifier.scopus | 2-s2.0-79961053779 | |
utb.identifier.coden | 9783902661296 | |
utb.source | d-scopus | |
dc.date.accessioned | 2015-06-04T12:56:22Z | |
dc.date.available | 2015-06-04T12:56:22Z | |
utb.contributor.internalauthor | Sysel, Martin | |
utb.contributor.internalauthor | Pomykacz, Ivan |