Approximationransform using higher order integrators and its applications in sampled-data control systems

dc.contributor國立臺灣師範大學電機工程學系zh_tw
dc.contributor.authorC.-H. Wangen_US
dc.contributor.authorC.-C. Hsuen_US
dc.contributor.authorW.-Y. Wangen_US
dc.date.accessioned2014-10-30T09:28:16Z
dc.date.available2014-10-30T09:28:16Z
dc.date.issued1998-01-01zh_TW
dc.description.abstractIn this paper, we first clarify the difference between the approximate z transform and the discrete equivalent of a continuous system using higher-order integrators. It is shown that a 1/ ts factor needs to be included for the approximate z transform but not for the discrete equivalent. We further apply the approximate z transform to facilitate the stability analysis of sampled-data control systems, with or without uncertain parameters, ft is shown in this paper that the approximate z transform greatly simplifies the stability analysis of a sampled-data control system, which is regarded as rather difficult ( if not impossible) to handle because of its transcendental nature. The results can be easily obtained and show reasonably good approximations with this approach. Several examples are used to illustrate the effectiveness of this new method.en_US
dc.description.urihttp://www.tandfonline.com/doi/pdf/10.1080/00207729808929551zh_TW
dc.identifierntnulib_tp_E0604_01_048zh_TW
dc.identifier.issn0020-7721zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31970
dc.languageenzh_TW
dc.publisherTaylor & Francisen_US
dc.relationInternational Journal of Systems Science, 29(6), 595-604.en_US
dc.relation.urihttp://dx.doi.org/10.1080/00207729808929551zh_TW
dc.titleApproximationransform using higher order integrators and its applications in sampled-data control systemsen_US

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