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dc.contributor.authorLee, An-Chenen_US
dc.contributor.authorHuang, Ruei-Yuen_US
dc.contributor.authorChen, Yu-Xianen_US
dc.contributor.authorTsai, Te-Hsiuen_US
dc.contributor.authorChang, Chen-Yuen_US
dc.date.accessioned2020-10-05T02:01:58Z-
dc.date.available2020-10-05T02:01:58Z-
dc.date.issued2020-08-01en_US
dc.identifier.issn0257-9731en_US
dc.identifier.urihttp://hdl.handle.net/11536/155392-
dc.description.abstractExponentially weighted moving average (EWMA) or double EWMA controllers are often employed to deal with various stochastic time-series disturbances for run-to-run control. If the disturbance model is known, then the best EWMA or double EWMA controller can be obtained by minimizing output variance with respect to controller parameters. However, from the theoretical view point, results are only sub-optimum because the control scheme may not be the best control scheme for the underlying stochastic disturbance. Therefore, investigating the best control scheme for the process disturbance following the general ARIMA time series process is worthwhile. In this paper, the predictive disturbance observer (PDOB) is developed based on minimum variance control for various ARIMA(p,r,q) stochastic disturbances. If the ARIMA(p,r,q) disturbance model is known, then the PDOB scheme generates one-step ahead prediction for this disturbance and then feeds it back to compensate the effect of stochastic disturbance on the system output; as a result, the system generates the minimum output variance or simply white noise variance.en_US
dc.language.isoen_USen_US
dc.subjectstochastic disturbanceen_US
dc.subjectrun-to-run controlen_US
dc.subjectdisturbance observeren_US
dc.subjectminimum variance controlen_US
dc.subjecttime-series modelen_US
dc.titleMinimum Variance Run-to-Run Controller for General Stochastic Time-Series-Based Disturbancesen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERSen_US
dc.citation.volume41en_US
dc.citation.issue4en_US
dc.citation.spage391en_US
dc.citation.epage400en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000569428200001en_US
dc.citation.woscount0en_US
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